The document presents a project that aims to neutralize image capturing devices. It discusses detecting cameras using LEDs and image processing, then disabling the camera with a laser. The system works by identifying cameras using their CCD sensor properties when exposed to light. Images are processed to locate cameras then a laser is aimed at the camera lens to overexpose the image sensor. The document outlines the system components, working, safety measures and potential for future development.
detection and disabling of digital cameraVipin R Nair
The proposed system detects hidden cameras using image processing techniques and then neutralizes them using non-harmful infrared lasers. It works by first scanning an area with infrared light beams. Any cameras present will retroreflect some of the light due to the properties of the CCD image sensor. The retroreflected light is captured with a camcorder as a test image. Image processing algorithms like thresholding are then used to detect bright spots in the test image indicating retroreflected light off a camera lens. Once detected, the system uses an infrared laser to overexpose any camera found, rendering the photos useless without harming the camera. This process relies on the unique reflective properties of digital camera sensors.
A Fast Single-Pixel Laser Imager for VR/AR Headset TrackingPing Hsu
In this work we demonstrate a highly flexible laser imaging system for 3D sensing applications such as in tracking of VR/AR headsets, hands and gestures. The system uses a MEMS mirror scan module to transmit low power laser pulses over programmable areas within a field of view and uses a single photodiode to measure the reflected light...
1. Ramesh Raskar discusses his research in computational photography and creating new types of cameras that go beyond traditional camera capabilities.
2. The goal is to develop imaging platforms that have a deeper understanding of the visual world than humans by capturing and analyzing more information.
3. Examples of this research include cameras that can capture light fields and refocus images after capture, cameras that can remove motion blur in a single photo, and techniques for capturing high-speed motion with imperceptible tags.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
This document discusses compressive displays and related technologies for reducing the bandwidth requirements of multi-view and light field displays. It describes several technologies including layered 3D displays, polarization field displays, and high-rank 3D displays that decompose 4D light fields into lower dimensional representations. It also discusses using mathematical techniques like non-negative matrix factorization for further compressing display data. The document promotes open collaboration through the proposed Compressive Display Consortium to advance next generation displays.
The document discusses computational photography and the future of cameras. It describes how cameras could encode light in time and space using coded apertures and flutter shutters to capture more information from a single photo. This would allow for features like digital refocusing and motion deblurring. It also discusses using masks inside cameras to capture 4D light field data with a 2D sensor, and how this could enable features like refocusing after the photo is taken. Finally, it proposes new types of cameras that could reconstruct 3D shape from a single photo or enable high-speed motion capture using imperceptible projected patterns.
Motion capture is the process of recording movements of humans or objects and translating that data into digital form that can be used in films, games, and other media. It works by tracking markers placed on actors' bodies and using multiple synchronized cameras to triangulate the 3D positions over time. Early motion capture used mechanical exoskeletons connected to joints, but modern optical systems track passive reflective markers with cameras in the infrared spectrum. Optical motion capture is now commonly used in film production due to its accuracy and ability to capture complex performances without wires or sensors restricting movement.
The document discusses different types of sensors used for 3D digitization, including passive and active vision techniques. It describes synchronization circuit-based dual photocells that improve measurement stability and repeatability. Position sensitive detectors are discussed that can measure the position of a light spot in one or two dimensions on a sensor surface to acquire high-resolution 3D images. A proposed sensor architecture combines color and range sensing for applications like hand-held 3D cameras.
detection and disabling of digital cameraVipin R Nair
The proposed system detects hidden cameras using image processing techniques and then neutralizes them using non-harmful infrared lasers. It works by first scanning an area with infrared light beams. Any cameras present will retroreflect some of the light due to the properties of the CCD image sensor. The retroreflected light is captured with a camcorder as a test image. Image processing algorithms like thresholding are then used to detect bright spots in the test image indicating retroreflected light off a camera lens. Once detected, the system uses an infrared laser to overexpose any camera found, rendering the photos useless without harming the camera. This process relies on the unique reflective properties of digital camera sensors.
A Fast Single-Pixel Laser Imager for VR/AR Headset TrackingPing Hsu
In this work we demonstrate a highly flexible laser imaging system for 3D sensing applications such as in tracking of VR/AR headsets, hands and gestures. The system uses a MEMS mirror scan module to transmit low power laser pulses over programmable areas within a field of view and uses a single photodiode to measure the reflected light...
1. Ramesh Raskar discusses his research in computational photography and creating new types of cameras that go beyond traditional camera capabilities.
2. The goal is to develop imaging platforms that have a deeper understanding of the visual world than humans by capturing and analyzing more information.
3. Examples of this research include cameras that can capture light fields and refocus images after capture, cameras that can remove motion blur in a single photo, and techniques for capturing high-speed motion with imperceptible tags.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
This document discusses compressive displays and related technologies for reducing the bandwidth requirements of multi-view and light field displays. It describes several technologies including layered 3D displays, polarization field displays, and high-rank 3D displays that decompose 4D light fields into lower dimensional representations. It also discusses using mathematical techniques like non-negative matrix factorization for further compressing display data. The document promotes open collaboration through the proposed Compressive Display Consortium to advance next generation displays.
The document discusses computational photography and the future of cameras. It describes how cameras could encode light in time and space using coded apertures and flutter shutters to capture more information from a single photo. This would allow for features like digital refocusing and motion deblurring. It also discusses using masks inside cameras to capture 4D light field data with a 2D sensor, and how this could enable features like refocusing after the photo is taken. Finally, it proposes new types of cameras that could reconstruct 3D shape from a single photo or enable high-speed motion capture using imperceptible projected patterns.
Motion capture is the process of recording movements of humans or objects and translating that data into digital form that can be used in films, games, and other media. It works by tracking markers placed on actors' bodies and using multiple synchronized cameras to triangulate the 3D positions over time. Early motion capture used mechanical exoskeletons connected to joints, but modern optical systems track passive reflective markers with cameras in the infrared spectrum. Optical motion capture is now commonly used in film production due to its accuracy and ability to capture complex performances without wires or sensors restricting movement.
The document discusses different types of sensors used for 3D digitization, including passive and active vision techniques. It describes synchronization circuit-based dual photocells that improve measurement stability and repeatability. Position sensitive detectors are discussed that can measure the position of a light spot in one or two dimensions on a sensor surface to acquire high-resolution 3D images. A proposed sensor architecture combines color and range sensing for applications like hand-held 3D cameras.
FotoNation has developed a digital gimbal solution for image stabilization that uses algorithms rather than mechanical assemblies. This provides several advantages over traditional mechanical gimbals, including lower cost, weight, and power consumption while offering faster reaction times. The system uses inertial sensors and frame-to-frame image registration to remove the effects of high frequency vibrations in real-time video. It can correct for rolling shutter distortions and lock the horizon during camera movement. The solution is integrated into FotoNation's image processing unit for optimized implementation with additional computer vision capabilities.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-mangen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Michael Mangen, Product Manager for Camera and Computer Vision at Qualcomm, presents the "High-resolution 3D Reconstruction on a Mobile Processor" tutorial at the May 2016 Embedded Vision Summit.
Computer vision has come a long way. Use cases that were previously not possible in mass-market devices are now more accessible thanks to advances in depth sensors and mobile processors. In this presentation, Mangen provides an overview of how we are able to implement high-resolution 3D reconstruction – a capability typically requiring cloud/server processing – on a mobile processor. This is an exciting example of how new sensor technology and advanced mobile processors are bringing computer vision capabilities to broader markets.
Digital 3D imaging can be accelerated using advances in VLSI technology. High-resolution 3D images can be captured using laser-based vision systems, which produce 3D information insensitive to background illumination and surface texture. Complete images of featureless surfaces invisible to the human eye can be generated. Sensors for 3D digitization include position sensitive detectors and laser sensors. Continuous response position sensitive detectors provide precise centroid measurement while discrete response detectors are slower but more accurate. An integrated sensor architecture is proposed using a combination of these sensors to simultaneously measure color and 3D.
Sensors on 3 d digitization seminar reportVishnu Prasad
The document discusses sensors for 3D digitization. It describes two main strategies for 3D vision - passive vision which analyzes ambient light, and active vision which structures light using techniques like laser range cameras. It then discusses an auto-synchronized scanner that can provide registered 3D surface maps and color data by scanning a laser spot across a scene and detecting the reflected light with a linear sensor, producing registered images with spatial and color information.
This document provides an overview of digital radiography, including its history and key components. Digital radiography converts analog X-ray images to digital files using various detection methods. These include computed radiography using photostimulable phosphor plates, as well as direct digital radiography techniques like CCD and flat panel detectors that directly capture X-ray data without image plates. The digital files then undergo processing to enhance image quality and enable analysis.
Image fusion is the process of combining two or more images with specific objects with more precision. It is very common that when one object is focused remaining objects will be less highlighted. To get an image highlighted in all areas, a different means is necessary. This is done by the Image Fusion. In remote sensing, the increasing availability of Space borne images and synthetic aperture radar images gives a motivation to different kinds of image fusion algorithms. In the literature a number of time domain image fusion techniques are available. Few transform domain fusion techniques are proposed. In transform domain fusion techniques, the source images will be decomposed, then integrated into a single data and will be reconstructed back into time domain. In this paper, singular value decomposition as a tool to have transform domain data will be utilized for image fusion. In the literature, the quality assessment of fusion techniques is mainly by subjective tests. In this paper, objective quality assessment metrics are calculated for existing and proposed techniques. It has been found that the new image fusion technique outperformed the existing ones.
A maskless exposure device for rapid photolithographic prototyping of sensor ...Dhanesh Rajan
A very cost effective maskless exposure device (MED) for the fast lithographic prototyping of various layouts is presented. The device is assembled using a digital light processing projector (DLP), an optical microscope, alignment stages and a web camera. Layouts created on a computer screen can be easily transferred to substrate surfaces without using expensive photomasks and the process can be repeated by introducing new drawings on the screen. Components are tuned for a constant area of exposure and a resolution of around 20 μm is possible at the moment without using any reduction lenses. The MED has been used in patterning the surfaces of silicon, glass, metal etc. successfully. The device can be assembled using commercially available components at a very minimum cost and can be effectively used in fast prototyping applications like in MEMS, microfluidics, patterning of sensor and electrode structures.
This document discusses the basic principles of digital radiography. It describes how digital images are made up of pixels arranged in a matrix, with each pixel containing a brightness value. The pixel size and matrix size determine the spatial resolution of the image. Digital receptors like CCDs and CMOS sensors convert x-rays to light which is then converted to electrical signals representing the image as a pixel matrix. CCDs have advantages including high sensitivity, dynamic range, and small size.
This document summarizes an interactive touch board that uses an infrared camera and infrared stylus. It can turn any projected display into an interactive surface. The system uses a low-cost infrared camera to detect the position of an infrared light from the stylus tip. An image processing algorithm analyzes the camera image to determine the stylus coordinates and move the mouse cursor accordingly. The algorithm was implemented using NI LabVIEW. Experimental results found average accuracy of 98.9% and latency of 0.28 seconds at a resolution of 800x600 pixels. This low-cost design could enable interactive whiteboard applications in education.
This document discusses digital image fundamentals including:
- The structure and function of the human eye and vision system.
- How images are represented digitally as matrices of pixel values.
- Factors that determine the resolution of a digital image such as sampling rate, quantization, and number of bits per pixel.
- Basic relationships between pixels such as connectivity and labeling of connected components.
An Approach for Object and Scene Detection for Blind Peoples Using Vocal Vision.IJERA Editor
This system help the blind peoples for the navigation without the help of third person so blind person can perform its work independently. This system implemented on android device in which object detection and scene detection implemented, so after detection there will be text to speech conversion so user or blind person can get message from that android device with the help of headphone connected to that device. Our project will help blind people to understand the images which will be converted to sound with the help of webcam. We shall capture images in front of blind peoples .The captured image will be processed through our algorithms which will enhances the image data. The hardware component will have its own database. The processed image is compare with the database in the hardware component .The result after processing and comparing will be converted into speech signals. The headphones guide the blind peoples.
This is a basic introduction for kinect v1 and processing in 2014. However, some practice codes not included in this slide. It's only the concept help you understand some information about how using processing play with kinect.
Introduction to image processing (or signal processing).
Types of Image processing.
Applications of Image processing.
Applications of Digital image processing.
Ramesh Raskar discusses his research vision for computational photography and cameras of the future. He envisions cameras that can understand scenes at a higher level than humans by producing meaningful abstractions from vast amounts of visual data. His work includes techniques like looking around corners using transient imaging, long distance barcodes, light field displays, and augmented reality. The goal is to advance both imaging hardware and computational algorithms to create an "ultimate camera" beyond the limitations of traditional photography.
Digital Image Forensics: camera fingerprint and its robustness Francesco Forestieri
1. The document discusses camera fingerprint analysis, which is used in digital forensics to identify the source device of digital images.
2. It explains that each image sensor has a unique photo response non-uniformity (PRNU) pattern that is imprinted onto every image taken, acting as a sensor fingerprint.
3. The process of linking devices involves calculating a camera reference pattern from multiple images, extracting the noise pattern from a target image, and finding the correlation between the reference pattern and target noise to determine if they match.
Digital cameras take pictures digitally by recording images via an electronic image sensor rather than using film. They have advantages over film cameras like immediately viewing photos, storing thousands of photos on memory, and deleting photos to free space. Digital cameras come in various sizes and prices, from small point-and-shoot compact cameras to high-end professional DSLR cameras with interchangeable lenses. Compact cameras are designed to be tiny, portable, and easy to use, while sacrificing some picture quality. DSLRs have large image sensors and interchangeable lenses, allowing professional-quality photos.
Computer generated holography as a generic display technologyPritam Bhansali
Computer-generated holography uses a spatial light modulator controlled by a computer to generate and display holographic images without the need for specialized recording materials. It offers advantages over conventional displays like high optical efficiency, ease of tiling displays, tolerance of pixel defects, wide color gamut from laser sources, and the ability to provide full depth cues. While currently expensive, computer-generated holography has the potential to become a viable alternative display technology as costs decrease.
Though revolutionary in many ways, digital photography is essentially electronically implemented film photography. By contrast, computational photography exploits plentiful low-cost computing and memory, new kinds of digitally enabled sensors, optics, probes, smart lighting, and communication to capture information far beyond just a simple set of pixels. It promises a richer, even a multilayered, visual experience that may include depth, fused photo-video representations, or multispectral imagery. Professor Raskar will discuss and demonstrate advances he is working on in the areas of generalized optics, sensors, illumination methods, processing, and display, and describe how computational photography will enable us to create images that break from traditional constraints to retain more fully our fondest and most important memories, to keep personalized records of our lives, and to extend both the archival and the artistic possibilities of photography.
This document outlines a student project to develop a system to detect non-metallic weapons on passengers at airports using infrared light and image processing. The student aims to enhance airport security by detecting hidden plastic guns. The project proposes using a CCD sensor and infrared light to create digital images that can then be analyzed using particle analysis tools to identify threats. Initial testing showed some success in detecting plastic objects but identified challenges around orientation, lighting, and distance that need further refinement.
The document discusses Charge Coupled Device (CCD) cameras. It describes CCDs as light-sensitive chips made of silicon that convert light into electrical signals. CCDs are used in digital cameras, video cameras, and optical scanners. The key components of a CCD camera are the CCD chip, camera body, and electronics. When taking an image, the CCD goes through clearing, exposure, and readout phases to capture and process the light information. CCDs have advantages over film, including immediate image review, digital storage, and lack of degradation over time and copying.
This document provides an overview of digital radiography technologies. It discusses the key components of a digital radiography system including receptors, processing units, storage, and displays. The two main types of digital radiography detectors are direct conversion detectors, which convert x-ray energy directly into electric charge, and indirect conversion detectors, which first convert x-rays to light using a scintillator. Common scintillator materials are cesium iodide and gadolinium oxysulfide. The document also compares characteristics of scintillator-based flat panel detectors and photoconductor-based detectors using selenium. It describes digital image processing techniques such as contrast adjustment using look up tables and windowing.
FotoNation has developed a digital gimbal solution for image stabilization that uses algorithms rather than mechanical assemblies. This provides several advantages over traditional mechanical gimbals, including lower cost, weight, and power consumption while offering faster reaction times. The system uses inertial sensors and frame-to-frame image registration to remove the effects of high frequency vibrations in real-time video. It can correct for rolling shutter distortions and lock the horizon during camera movement. The solution is integrated into FotoNation's image processing unit for optimized implementation with additional computer vision capabilities.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-mangen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Michael Mangen, Product Manager for Camera and Computer Vision at Qualcomm, presents the "High-resolution 3D Reconstruction on a Mobile Processor" tutorial at the May 2016 Embedded Vision Summit.
Computer vision has come a long way. Use cases that were previously not possible in mass-market devices are now more accessible thanks to advances in depth sensors and mobile processors. In this presentation, Mangen provides an overview of how we are able to implement high-resolution 3D reconstruction – a capability typically requiring cloud/server processing – on a mobile processor. This is an exciting example of how new sensor technology and advanced mobile processors are bringing computer vision capabilities to broader markets.
Digital 3D imaging can be accelerated using advances in VLSI technology. High-resolution 3D images can be captured using laser-based vision systems, which produce 3D information insensitive to background illumination and surface texture. Complete images of featureless surfaces invisible to the human eye can be generated. Sensors for 3D digitization include position sensitive detectors and laser sensors. Continuous response position sensitive detectors provide precise centroid measurement while discrete response detectors are slower but more accurate. An integrated sensor architecture is proposed using a combination of these sensors to simultaneously measure color and 3D.
Sensors on 3 d digitization seminar reportVishnu Prasad
The document discusses sensors for 3D digitization. It describes two main strategies for 3D vision - passive vision which analyzes ambient light, and active vision which structures light using techniques like laser range cameras. It then discusses an auto-synchronized scanner that can provide registered 3D surface maps and color data by scanning a laser spot across a scene and detecting the reflected light with a linear sensor, producing registered images with spatial and color information.
This document provides an overview of digital radiography, including its history and key components. Digital radiography converts analog X-ray images to digital files using various detection methods. These include computed radiography using photostimulable phosphor plates, as well as direct digital radiography techniques like CCD and flat panel detectors that directly capture X-ray data without image plates. The digital files then undergo processing to enhance image quality and enable analysis.
Image fusion is the process of combining two or more images with specific objects with more precision. It is very common that when one object is focused remaining objects will be less highlighted. To get an image highlighted in all areas, a different means is necessary. This is done by the Image Fusion. In remote sensing, the increasing availability of Space borne images and synthetic aperture radar images gives a motivation to different kinds of image fusion algorithms. In the literature a number of time domain image fusion techniques are available. Few transform domain fusion techniques are proposed. In transform domain fusion techniques, the source images will be decomposed, then integrated into a single data and will be reconstructed back into time domain. In this paper, singular value decomposition as a tool to have transform domain data will be utilized for image fusion. In the literature, the quality assessment of fusion techniques is mainly by subjective tests. In this paper, objective quality assessment metrics are calculated for existing and proposed techniques. It has been found that the new image fusion technique outperformed the existing ones.
A maskless exposure device for rapid photolithographic prototyping of sensor ...Dhanesh Rajan
A very cost effective maskless exposure device (MED) for the fast lithographic prototyping of various layouts is presented. The device is assembled using a digital light processing projector (DLP), an optical microscope, alignment stages and a web camera. Layouts created on a computer screen can be easily transferred to substrate surfaces without using expensive photomasks and the process can be repeated by introducing new drawings on the screen. Components are tuned for a constant area of exposure and a resolution of around 20 μm is possible at the moment without using any reduction lenses. The MED has been used in patterning the surfaces of silicon, glass, metal etc. successfully. The device can be assembled using commercially available components at a very minimum cost and can be effectively used in fast prototyping applications like in MEMS, microfluidics, patterning of sensor and electrode structures.
This document discusses the basic principles of digital radiography. It describes how digital images are made up of pixels arranged in a matrix, with each pixel containing a brightness value. The pixel size and matrix size determine the spatial resolution of the image. Digital receptors like CCDs and CMOS sensors convert x-rays to light which is then converted to electrical signals representing the image as a pixel matrix. CCDs have advantages including high sensitivity, dynamic range, and small size.
This document summarizes an interactive touch board that uses an infrared camera and infrared stylus. It can turn any projected display into an interactive surface. The system uses a low-cost infrared camera to detect the position of an infrared light from the stylus tip. An image processing algorithm analyzes the camera image to determine the stylus coordinates and move the mouse cursor accordingly. The algorithm was implemented using NI LabVIEW. Experimental results found average accuracy of 98.9% and latency of 0.28 seconds at a resolution of 800x600 pixels. This low-cost design could enable interactive whiteboard applications in education.
This document discusses digital image fundamentals including:
- The structure and function of the human eye and vision system.
- How images are represented digitally as matrices of pixel values.
- Factors that determine the resolution of a digital image such as sampling rate, quantization, and number of bits per pixel.
- Basic relationships between pixels such as connectivity and labeling of connected components.
An Approach for Object and Scene Detection for Blind Peoples Using Vocal Vision.IJERA Editor
This system help the blind peoples for the navigation without the help of third person so blind person can perform its work independently. This system implemented on android device in which object detection and scene detection implemented, so after detection there will be text to speech conversion so user or blind person can get message from that android device with the help of headphone connected to that device. Our project will help blind people to understand the images which will be converted to sound with the help of webcam. We shall capture images in front of blind peoples .The captured image will be processed through our algorithms which will enhances the image data. The hardware component will have its own database. The processed image is compare with the database in the hardware component .The result after processing and comparing will be converted into speech signals. The headphones guide the blind peoples.
This is a basic introduction for kinect v1 and processing in 2014. However, some practice codes not included in this slide. It's only the concept help you understand some information about how using processing play with kinect.
Introduction to image processing (or signal processing).
Types of Image processing.
Applications of Image processing.
Applications of Digital image processing.
Ramesh Raskar discusses his research vision for computational photography and cameras of the future. He envisions cameras that can understand scenes at a higher level than humans by producing meaningful abstractions from vast amounts of visual data. His work includes techniques like looking around corners using transient imaging, long distance barcodes, light field displays, and augmented reality. The goal is to advance both imaging hardware and computational algorithms to create an "ultimate camera" beyond the limitations of traditional photography.
Digital Image Forensics: camera fingerprint and its robustness Francesco Forestieri
1. The document discusses camera fingerprint analysis, which is used in digital forensics to identify the source device of digital images.
2. It explains that each image sensor has a unique photo response non-uniformity (PRNU) pattern that is imprinted onto every image taken, acting as a sensor fingerprint.
3. The process of linking devices involves calculating a camera reference pattern from multiple images, extracting the noise pattern from a target image, and finding the correlation between the reference pattern and target noise to determine if they match.
Digital cameras take pictures digitally by recording images via an electronic image sensor rather than using film. They have advantages over film cameras like immediately viewing photos, storing thousands of photos on memory, and deleting photos to free space. Digital cameras come in various sizes and prices, from small point-and-shoot compact cameras to high-end professional DSLR cameras with interchangeable lenses. Compact cameras are designed to be tiny, portable, and easy to use, while sacrificing some picture quality. DSLRs have large image sensors and interchangeable lenses, allowing professional-quality photos.
Computer generated holography as a generic display technologyPritam Bhansali
Computer-generated holography uses a spatial light modulator controlled by a computer to generate and display holographic images without the need for specialized recording materials. It offers advantages over conventional displays like high optical efficiency, ease of tiling displays, tolerance of pixel defects, wide color gamut from laser sources, and the ability to provide full depth cues. While currently expensive, computer-generated holography has the potential to become a viable alternative display technology as costs decrease.
Though revolutionary in many ways, digital photography is essentially electronically implemented film photography. By contrast, computational photography exploits plentiful low-cost computing and memory, new kinds of digitally enabled sensors, optics, probes, smart lighting, and communication to capture information far beyond just a simple set of pixels. It promises a richer, even a multilayered, visual experience that may include depth, fused photo-video representations, or multispectral imagery. Professor Raskar will discuss and demonstrate advances he is working on in the areas of generalized optics, sensors, illumination methods, processing, and display, and describe how computational photography will enable us to create images that break from traditional constraints to retain more fully our fondest and most important memories, to keep personalized records of our lives, and to extend both the archival and the artistic possibilities of photography.
This document outlines a student project to develop a system to detect non-metallic weapons on passengers at airports using infrared light and image processing. The student aims to enhance airport security by detecting hidden plastic guns. The project proposes using a CCD sensor and infrared light to create digital images that can then be analyzed using particle analysis tools to identify threats. Initial testing showed some success in detecting plastic objects but identified challenges around orientation, lighting, and distance that need further refinement.
The document discusses Charge Coupled Device (CCD) cameras. It describes CCDs as light-sensitive chips made of silicon that convert light into electrical signals. CCDs are used in digital cameras, video cameras, and optical scanners. The key components of a CCD camera are the CCD chip, camera body, and electronics. When taking an image, the CCD goes through clearing, exposure, and readout phases to capture and process the light information. CCDs have advantages over film, including immediate image review, digital storage, and lack of degradation over time and copying.
This document provides an overview of digital radiography technologies. It discusses the key components of a digital radiography system including receptors, processing units, storage, and displays. The two main types of digital radiography detectors are direct conversion detectors, which convert x-ray energy directly into electric charge, and indirect conversion detectors, which first convert x-rays to light using a scintillator. Common scintillator materials are cesium iodide and gadolinium oxysulfide. The document also compares characteristics of scintillator-based flat panel detectors and photoconductor-based detectors using selenium. It describes digital image processing techniques such as contrast adjustment using look up tables and windowing.
CCD cameras use charge-coupled device sensors to capture images as video signals. The document explains how CCD cameras work, focusing on the operation of the CCD imager chip at the heart of the camera. It describes how light is converted to electrical charge in sensor cells arranged in arrays, and how the charges are transferred and converted to a video signal. It provides information on camera resolution, spectral response, power requirements and other specifications to help select an appropriate camera.
The document summarizes the evolution of camera technology from early optical devices like the camera obscura to modern digital cameras. It describes how the camera obscura worked and its role in the development of photography. It then discusses pinhole cameras and box cameras as simple precursors to modern cameras. The document outlines the development of single-lens reflex cameras and explains the transition to digital cameras, including early digital cameras and the use of CCD and CMOS sensors.
- A sensor is a device that measures a physical quantity and converts it into a signal that can be read by an observer or instrument. Sensors need to be calibrated against known standards for accuracy.
- There are different types of sensors including thermal, electromagnetic, mechanical, chemical, optical, acoustic, and biological sensors. Image sensors convert an optical image into an electrical signal using photosensitive diodes.
- Key factors for choosing a sensor include the environment, required range of detection, and desired field of view. CCD and CMOS are the main types of image sensors, with CCD having higher sensitivity but CMOS being more power efficient and able to incorporate additional processing.
- A sensor is a device that measures a physical quantity and converts it into a signal that can be read by an observer or instrument. Sensors need to be calibrated against known standards for accuracy.
- There are different types of sensors including thermal, electromagnetic, mechanical, chemical, optical, acoustic, and biological sensors. Image sensors convert an optical image into an electrical signal using photosensitive diodes.
- Choosing a sensor depends on factors like the environment, required range of detection, and desired field of view. CCD and CMOS are two common types of image sensors that differ in their structure and power consumption.
Next Gen Computational Ophthalmic Imaging for Neurodegenerative Diseases and ...PetteriTeikariPhD
Shallow literature analysis on recent trends in computational ophthalmic imaging with focus on neurodegenerative disease imaging / oculomics.
Open-ended literature review on what you could be building next.
#1/2: Hardware
#2/2: Computational imaging
Alternative download link:
https://www.dropbox.com/scl/fi/d34pgi3xopfjbrcqj2lvi/retina_imaging_2024_computational.pdf?rlkey=xnt1dbe8rafyowocl9cbgjh3p&dl=0
Keywords: Signal processing, Applied optics, Computer graphics and vision, Electronics, Art, and Online photo collections
A computational camera attempts to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors and processing. We will discuss and play with thermal cameras, multi-spectral cameras, high-speed, and 3D range-sensing cameras and camera arrays. We will learn about opportunities in scientific and medical imaging, mobile-phone based photography, camera for HCI and sensors mimicking animal eyes.
We will learn about the complete camera pipeline. In several hands-on projects we will build several physical imaging prototypes and understand how each stage of the imaging process can be manipulated.
We will learn about modern methods for capturing and sharing visual information. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded -- beyond those present in traditional protographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized.
In this couse we will study this emerging multi-disciplinary field -- one which is at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. We will examine whether such innovative camera-like sensors can overcome the tough problems in scene understanding and generate insightful awareness. In addition, we will develop new algorithms to exploit unusual optics, programmable wavelength control, and femto-second accurate photon counting to decompose the sensed values into perceptually critical elements.
This document is a master's thesis that examines the accuracy of 3D geometric reconstruction using digital cameras. It discusses:
1) The construction of digital cameras and lens defects that cause distortions. It describes removing radial distortions to improve accuracy.
2) A geometric camera model using coordinate frames and calibration matrices to map 3D points to 2D images.
3) A calibration procedure and algorithm to compute camera intrinsic and extrinsic parameters like mirror angle, focal length, and principal point. Code is provided.
4) Experiments to measure the calibration and 3D reconstruction accuracy and factors that influence it like object position and camera resolution.
The thesis aims to develop a complete calibration method for metric 3D reconstruction
A Presentation on Charged Coupled Device (CCD).
Presented By:
Adwitiya Biswas
Ankit Prasad
Priyanka Kumari
Students of Asansol Engineering College.
3rd Year Applied Electronics and Instrumentation Engineering.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
This paper describes and implements an authentication resolutionmistreatmentstatistics, digital certificates and sensible cards to unravelthe protectiondownsidewithin the authentication method. The primaryhalfmay be a general introduction to the subject; the second may be atemporarysummaryregardingmistreatmentstatistics, a lot ofprecisely hand vein pattern. The third half presents a way of extracting the pattern vein of the rear of the hand additionallya way to match 2 templates. The fourth presents the 2 necessary phases in any authentication system: the enrolment and therefore the authentication. A projected authentication protocol is delineated too. The twenty percent generalize the attainable attacks and vulnerabilities during abiometric identification system and it additionally shows however our system is ready to avoid them .The sixth half talks regarding the implementation of the applying. Finally, within the conclusion, we tend to tried to summarize our work and prove the advantages of mistreatmentthis technique.
Deblurring of License Plate Image using Blur Kernel EstimationIRJET Journal
The document proposes a novel method for deblurring license plate images using blur kernel estimation. Existing deblurring methods cannot handle large blurs or low resolution images. The proposed method estimates the blur kernel parameters (angle and length) that caused the blurring. It analyzes sparse representation coefficients of deblurred images to determine the kernel angle, and uses Radon transform in the Fourier domain to estimate the kernel length. This allows effective deblurring of license plates that are severely blurred and unrecognizable to humans. The method is evaluated on real images and shown to outperform state-of-the-art blind deblurring algorithms.
The aim of this paper is to present the essential elements of the electro-optical imaging system EOIS for space applications and how these elements can affect its function. After designing a spacecraft for low orbiting missions during day time, the design of an electro-imaging system becomes an important part in the satellite because the satellite will be able to take images of the regions of interest. An example of an electro-optical satellite imaging system will be presented through this paper where some restrictions have to be considered during the design process. Based on the optics principals and ray tracing techniques the dimensions of lenses and CCD (Charge Coupled Device) detector are changed matching the physical satellite requirements. However, many experiments were done in the physics lab to prove that the resizing of the electro optical elements of the imaging system does not affect the imaging mission configuration. The procedures used to measure the field of view and ground resolution will be discussed through this work. Examples of satellite images will be illustrated to show the ground resolution effects.
The document discusses different types of digital radiography technologies including computed radiography which uses photostimulable phosphor plates, indirect digital radiography using a scintillator and photodiode array, and direct digital radiography using photoconductive materials. It covers the processes of image acquisition, processing, display, and archiving for digital radiography systems. Key differences between direct and indirect digital radiography technologies are also outlined.
Digital imaging of head and neck of the animalssozanmuhamad1
Digital imaging in dentistry involves capturing images digitally using sensors rather than film. There are several types of digital detectors including direct detectors like CCD and CMOS sensors, and indirect detectors like photostimulable phosphor plates. Digital imaging has advantages over traditional film like immediate image availability, electronic storage and transmission, and improved diagnostics with tools like magnification and digital manipulation.
Digital imaging of the all body organ ofsozanmuhamad1
Digital imaging in dentistry involves capturing images digitally using sensors instead of film. There are three main types of digital detectors: direct, indirect, and semi-direct. Direct detectors like CCD and CMOS sensors directly convert x-rays to digital signals. Indirect detectors like photostimulable phosphor plates first convert x-rays to light, which is then converted to digital. Digital imaging has advantages over analog film like rapid access and storage of images.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/09/next-generation-computer-vision-methods-for-automated-navigation-of-unmanned-aircraft-a-presentation-from-immervision/
Julie Buquet, Applied Researcher for Imaging and AI at Immervision, presents the “Next-generation Computer Vision Methods for Automated Navigation of Unmanned Aircraft” tutorial at the May 2023 Embedded Vision Summit.
Unmanned aircraft systems (UASs) need to perform accurate autonomous navigation using sense-and-avoid algorithms under varying illumination conditions. This requires robust algorithms able to perform consistently, even when image quality is poor.
In this presentation, Buquet shares the results of Immervision’s research on the impact of noise and blur on corner detection algorithms and CNN-based 2D object detectors used for drone navigation. Specifically, she shows how to fine-tune these algorithms to make them effective in extreme low light (0.5 lux) and on images with high levels of noise or blur. She also highlights the main benefits of using such computer vision methods for drone navigation.
Different types of imaging devices and principles.pptxAayushiPaul1
Digital radiography uses digital image receptors instead of film. Large digital radiographic images require significant storage space, network bandwidth, and high-resolution monitors. Picture archiving and communication systems (PACS) provide economical storage and access to medical images across systems using DICOM standards. Common digital x-ray technologies include computed radiography, direct radiography using CCDs or flat panel detectors, and direct detection flat panel systems which directly convert x-rays to electron-hole pairs.
Different types of imaging devices and principles.pptx
final ppt
1. NEUTRALIZING OF
IMAGE CAPTURING DEVICE
Presented By,
Akshay.U(12TC1004).
Jayachandran.R(12TC1023).
Krishna Bharathi.N(12TC1033).
Muthu Kumaran.M(12TC1042).
Under the Guidance of,
Mrs. Radha Nandagopal
(Assistant Professor of ECE)
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 1
2. Preamble
Abstract
Overview
Objective
Introduction
Problem Identification.
Block Diagram.
Proposed Method.
Hardware Module and Software used
Detection of Image Capturing device
Image processing Unit
LASER
LASER Safety
Conclusion and further development.
Reference.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 2
3. Abstract
The present media technology has been facing the problem on various
attacks such as ‘pirating a movie’. This issue causes some losses to the
producer and movie makers by means of financially, to rectify and to stop the
issue this project helps the board to have a control over it. This project deals
with the off-the-shelf equipment technology which could prevent from the
pirating mechanism by any image capturing device. The designed hardware
and software module is an idea for disabling the camera and prevent from
espionage of a movie. This system will have basic principles of light and its
unique property, which would help us to detect the presence of pirates and by
using of light emitting diode it neutralizes the capturing device.
CCET, ECE-A Final Review for Neutralizing of Image Capturing Device 3
4. Overview
The system which has the equipment’s that could stop
preventing a pirating of a movie and helps the producers and
movie makers. The last phase was to detect the presence of
pirating device in an area; this phase of the project will consist of
neutralization of an image capturing device by the high intensity
monochromatic source by emitting it over a pirating device.
CCET, ECE-A Final Review for Neutralizing of Image Capturing Device 4
5. Objective
The objective is to identify existence of image capturing
devices over an area.
To disable that device by focusing a light beam over it.
CCET, ECE-A Final Review for Neutralizing of Image Capturing Device 5
6. Introduction
In the digital world, data or information is represented by 1’s
and 0’s.
Charge-Coupled Devices(CCD’s) converts the pixel value into
a digital value.
The higher the number of pixels, the higher number of detail is
captured
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 6
7. Cont.….
CCD is an image sensor which is retro reflective which reflects
back the light.
Electrons generated by the interaction of photons with silicon
atoms are stored in a potential well.
Digital camera uses solid state image sensors to convert light to
digital pictures.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 7
8. Cont.….
The device which will help us to neutralize the espionage
images that are recorded.
Analysis of recorded image is processed and the neutralization
is proceeded
From the light source intruder is identified by connecting the
Camera to personal system.
CCET, ECE-A Final Review for Neutralizing of Image Capturing Device 8
9. The Camera mounted over the LED block sends each signal to
the PC.
When a telephoto lens is aimed at you, you will see a "glint" in
the lens if you are shining a light in its direction.
The LASER part of the system is enabled by the manual control
over shining lens.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 9
10. Cameras
Camera is a device that converts optical image into digital output.
Earlier Digital Cameras used CMOS sensors and now upgraded to
CCD for high intensity capturing
There are two imperfection for a camera, they are:
• Blooming
• Lens flare
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 10
11. In addition to these imperfections, cameras strengths can also
contribute to their weakness, for example with long, or
telephoto, lenses.
These lenses act as telescopes, allowing the camera to fill its
frame with a magnified image.
Since the field of view is small, the amount of light needed by
the sensor is proportionally larger.
Consequently, telephoto lenses are typically large, making
concealment more difficult and detection easier
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 11
12. CHARGE-COUPLED
DEVICE(CCD’s)
A charge-coupled device (CCD) is a sensor for making
images in digital cameras.
A CCD (Charge Coupled Device) chip is a light sensitive
device, made of silicon.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 12
13. Cont.…
It consist an integrated circuit containing an array of linked or
coupled capacitors acting as many small pixels.
CCD’s undergo the concept of retro reflection in which there
is a reflected rays along the opposite direction of the incident
light ray.
The more light falls on the CCD’s, the more charge will
accumulate in the pixel.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 13
15. Block Diagram
Scanning IR
emitter
CCD
Test Image
Recorder
IPU
Camera
Locator
Infrared
Laser Beam
Projector
Detector Unit
Disabling Unit
Timing and Control
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 15
16. Problem Identification
Video Pirating.
Leakage of Confidentiality.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 16
17. Piracy
The need of piracy is to get income.
Deploying the media field.
Destroys the hard work of many talented people in the film
industry
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 17
18. Possible ways analysed
While pirating:
Laser.
Projection Screen.
Before pirating:
Projector
After pirating:
Flash memory cards
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 18
19. Proposed Method
Retro Reflection.
Image Processing.
While pirating, once identified the device would beam an
invisible IR laser into the camera’s direction and overexposing
it.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 19
20. Hardware Module
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 20
LED BLOCKS
INTERFACING WITH
TUNER
LCD DISPLAY
LASER
DETECTION AND DISABLING HARDWARE MODULES
21. Detection of Image Capturing Device
The block of series LED’s are kept in front of the screen.
This LED which helps the identification of pirates in an
area by focusing on the material called CCD.
This CCD which has the unique property of light, so
that the images are been recorded by the surveillance
camera.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 21
22. Image Processing Unit
Once the images are identified it is interfaced with the PC or
Laptop for the processing an exact location of a camera.
The images which are recorded will be in saved in a program
folder.
The program that is used for identification is RGB segmentation
for separating the perfect location of CCD.
After processing the system will enable the LASER part which
is said to be disabling section of the system.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 22
23. LASER
Lasers are near-perfect monochromatic light sources, in that they
emit a single narrow wavelength.
The first lasers were made of glass tubes with polished mirror
ends and had the additional feature of emitting collimated light, a
parallel beam.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 23
24. Here on earth, the atmosphere has enough density to diffuse and
weaken a collimated beam.
But on a clear day or at night, a small bright spot from a well-
collimated laser will remain a small bright spot for distances of
hundreds of meters
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 24
25. The solid-state revolution that replaced
vacuum tubes with silicon chips had a
similar effect on lasers.
Solid-state technology allowed lasers to
become smaller, more efficient, and
much cheaper.
Useful new industries emerged, such as
laser printers and laser-scanning at
supermarket checkout counters.
Useless ones appeared as well, such as
cheap home laser light shows and laser
pointers.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 25
26. Laser and other light-based pointing devices were originally
made to help a lecturer highlight something on an accompanying
projection screen.
So in theory, there need not be more pointers in the world than
lecterns or projection screens (or lecturers).
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 26
27. Today lasers come in extremely wide varieties of type,
wavelength, and power.
They range from lasers capable of destroying missiles to tiny
lasers that create images directly on the human retina.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 27
28. First field tests were conducted
simply with an inexpensive laser
pointer aimed into the lens of a
video camera.
At close range (1 - 5 meters), the
beam was easy to aim by hand.
The laser beam almost completely
obliterated the image, covering it
with a red starburst.
The effect completely disappeared
when the laser was aimed away,
leaving no trace of any permanent
damage.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 28
29. This cheap laser pointer emitted an oval-shaped beam (as is
often the case) that was about 2mm by 4mm in diameter at
very short distances, and expanded to over 5cm by 10cm at
100 meters (due to cheap collimating optics).
In medium and bright light, it was difficult to see with an
unaided eye.
The obvious solution was to couple the laser to an optical
scope and pre-calibrate them.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 29
30. Then, a larger rifle scope was
used for a bigger, brighter
These gun sights also have
adjustment screws to align
the beam, durable metal
cases, and many options of
mounting hardware
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 30
31. These devices apparently couple a light sensor to a flash unit:
when a flash of light is detected, the devices instantaneously
flash back.
If these devices work, they obviously would only work for still,
flash photography.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 31
32. LASER Safety
The main thing that has to be involved in using LASER is that
the LASER safety, because which is more dangerous for the
human beings.
But we have the safety measure and LASER that are used is
according to irrespective to human dangers.
So, there is no effects for the usage of LASER in this project
and further usage.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 32
33. Though lasers are often associated with danger (think Gold
finger), their hazard level is related to power, wavelength,
and concentration, but primarily to power.
Lasers are classified into four classes (two of which have
sub-classes).
These range from "Class I" lasers which are deemed never
harmful (e.g., laser printers), to "Class IV" lasers that can
blind, burn, and sometimes cut through steel.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 33
34. The big dividing line lies between Class III a and Class III b
lasers, with the major criteria being whether or not the laser
emits more or less than 5 mill watts.
Class IIIb and Class IV lasers must be registered in many
countries, though a casual Web search suggests it's pretty easy
to buy serious Class IV lasers if one desires.
All off-the-shelf laser pointers are Class III a lasers, emitting
light from 1 - 5 mill watts.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 34
35. The official view is that they cannot burn or damage skin, but
can produce "spot blindness" under the right conditions and
should have a "danger" label attached. Spot, or temporary,
blindness can indeed be hazardous..
Today, many sports arenas and concert halls ban laser pointers.
Various direct and indirect laws can be used to cite
irresponsible use of laser pointers as a misdemeanour.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 35
36. Conclusion and further development.
Thus the camera has been detected from the phase-I and
by the IPU(Image Processing Unit) it is identified where the
exact location of the camera in an arena this signals the operator
to be alert with espionage. This will give the information to
manual controlled LASER machine which will be initiated by
human control
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 36
37. This can be extended to the next level by using the CCTV camera in an
inside theatre hall or confidential hall.
The system can be changed over many blocks of LED’s source for finding
the nook the corner of the hall.
Thus conveyor belt can be used for the too and fro motion of the camera
which could cover all the spots in an arena or a hall
Thus it will be good mechanism for the Media Technologies to be safe with
their investment.
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 37
39. Cont.
The output show the
neutralizing image of an
camera through LASER
This witness the proprietor
that capturing device is
being neutralized
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 39
40. CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 40
41. Reference
Han-Kuei Fu, Yen-Liang Liu, Tzung-Te Chen, Chien-Ping Wang, and Pei-Ting Chou
“The Study of Spectral Correction Algorithm of Charge-Coupled Device Array Spectrometer”.
IEEE Transanction Electron Devices, VOL.61, NO 11, NOVEMBER 2014.
http://www.informationweek.com/georgia-tech-device-disables-digital-cameras/d/d-
id/1044798?
http://www.livescience.com/819-device-disables-digital-cameras.html
http://www.naimark.net/projects/zap/howto.html
Semiconductor devices: Physics and technology, 2nd Edition, Wiley India Edition, By S M Sze
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 41
42. Reference
Han-Kuei Fu, Yen-Liang Liu, Tzung-Te Chen, Chien-Ping Wang, and Pei-Ting Chou
“The Study of Spectral Correction Algorithm of Charge-Coupled Device Array Spectrometer”.
IEEE Transanction Electron Devices, VOL.61, NO 11, NOVEMBER 2014.
http://www.informationweek.com/georgia-tech-device-disables-digital-cameras/d/d-
id/1044798?
http://www.livescience.com/819-device-disables-digital-cameras.html
http://www.naimark.net/projects/zap/howto.html
Semiconductor devices: Physics and technology, 2nd Edition, Wiley India Edition, By S M Sze
CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 42
43. References
Tutorial - Tutorial with introduction of Clustering Algorithms (k-means, fuzzy-c-means,
hierarchical, mixture of gaussians) + some interactive demos (java applets).
Digital Image Processing and Analysis-byB.Chanda and D.Dutta Majumdar.
H. Zha, C. Ding, M. Gu, X. He and H.D. Simon. "Spectral Relaxation for K-means
Clustering", Neural Information Processing Systems vol.14 (NIPS 2001). pp. 1057-1064,
Vancouver, Canada. Dec. 2001.
J. A. Hartigan (1975) "Clustering Algorithms". Wiley.
J. A. Hartigan and M. A. Wong (1979) "A K-Means Clustering Algorithm", Applied
Statistics, Vol. 28, No. 1, p100-108.
D. Arthur, S. Vassilvitskii (2006): "How Slow is the k-means Method?,"
D. Arthur, S. Vassilvitskii: "k-means++ The Advantages of Careful Seeding" 2007
Symposium on Discrete Algorithms (SODA).
www.wikipedia.com CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 43
44. CCET, ECE-A Final Review for Neutralizing of
Image Capturing Device 44