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application of digital image processing and methods
- 1. APPLICATIONS of Digital ImageProcessing Introduction Presented by: SIRIL SAM ABRAHAM (UR15EC070) ECE DEPARTMENT KARUNYA UNIVERSITY
- 2. What is aDigital Image? A digital image is a numeric representation (normally binary) of a two-dimensional image, called picture elements or pixels
- 3. PIXEL It isthe smallest controllable element of an image. More pixels then more clearer the image Pixels have different intensity values
- 4. Common imageColor-type include: 1 sample per point (B&W or Grayscale) 3 samples per point (Red, Green, and Blue) For most of this presentation we will focus on greyscale images.
- 5. Introduction Digital Image Processingis Processing images which are digital in nature.
- 6. Introduction Why dowe need Image Processing? It is motivated by 2 major applications: (i) Improvement of pictorial information for human perception. (ii) Image processing for autonomous machine application. (iii) Efficient storage & transmission.
- 7. The continuum fromimage processing to computer vision can be broken up into low-, mid- and high-level processes Low Level Process Input: Image Output: Image Examples: Noise removal, image sharpening Mid Level Process Input: Image Output: Attributes Examples: Object recognition, segmentation High Level Process Input: Attributes Output: Understanding Examples: Scene understanding, autonomous navigation
- 8. Introduction Improvement of pictorialinformation for human interpretation and analysis. Typical applications: Noise filtering Content Enhancement Contrast enhancement Deblurring Remote sensing
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- 13. IR Imaging (Performance) Thermal/ IR view of a Chip
- 14. IR Imaging (Natural Calamity) Fig.IR satellite view of Augustine volcano
- 15. IR Imaging (NightVision) Fig. IR image of a sloth at night
- 16. IR Imaging (NightVision) Night vision system used by soldiers
- 17. IR Imaging (Weather) Fig.IR Satellite Imagery
- 18. IR Imaging (Astronomy) Fig.Nebula NGC 1514 01 in Visible (left) and Infrared (right)
- 19. Ultrasound imaging (Medical) Fig. Foetus& Thyroid using ultrasound
- 20. UV imaging (Ozone) Fig.Detect ozone layer damage
- 21. UV imaging (Sunspots) Fig. Identify sun spots
- 22. Examples: Image Enhancement One ofthe most common uses of DIP techniques: improve quality, remove noise etc
- 23. Examples: Industrial Inspection: Human operatorsare expensive, slow and unreliable Make machines do the job instead Industrial vision systems are used in all kinds of industries Can we trust them?
- 24. Examples: Law Enforcement Imageprocessing techniques are used extensively by law enforcers Number plate recognition for speed cameras/automated toll systems Fingerprint recognition Enhancement of CCTV images
- 25. Examples: PCB Inspection PrintedCircuit Board (PCB) inspection Machine inspection is used to determine that all components are present and that all solder joints are acceptable Both conventional imaging and x-ray imaging are used
- 26. Examples: Artistic Effects Artisticeffects are used to make images more visually appealing, to add special effects and to make composite images
- 27. Examples: The Hubble Telescope Launchedin 1990 the Hubble telescope can take images of very distant objects However, an incorrect mirror made many of Hubble’s images useless Image processing techniques were used to fix this
- 28. Examples: HCI Try tomake human computer interfaces more natural Face recognition Gesture recognition Does anyone remember the user interface from “Minority Report”? These tasks can be extremely difficult
- 29. X-Ray imaging (Medical) Fig.X ray of neck
- 30. X-Ray imaging (Medical) Fig.X ray of head
- 31. X-Ray imaging (Circuits) Fig.X ray of a Glucose meter circuit
- 32. Gamma-Ray imaging: Fig. Gammaray exposed images
- 33. Gamma-Ray imaging (Astronomy) Fig. Gammaray bursts in space
- 34. Remote Sensing Fig. Satelliteimages of Mumbai suburban(Left) and Gateway of India (Right)
- 35. Remote Sensing Satellite imagesof Taj Mahal
- 36. Key Stages inDigital Image Processing Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 37. Key Stages inDigital Image Processing: Image Aquisition Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 38. Key Stages inDigital Image Processing: Image Enhancement Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 39. Key Stages inDigital Image Processing: Image Restoration Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 40. Key Stages inDigital Image Processing: Morphological Processing Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 41. Key Stages inDigital Image Processing: Segmentation Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 42. Key Stages inDigital Image Processing: Object Recognition Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 43. Key Stages inDigital Image Processing: Representation & Description Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 44. Key Stages inDigital Image Processing: Image Compression Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 45. Key Stages inDigital Image Processing: Colour Image Processing Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
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