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Embedded Systems
Image Processing using Free Software Platforms
Abolfazl Danayi
adanayi95@gmail.com
Software Freedom Day
Sharif University of Technology
29th September 2016
Abolfazl Danayi 9/29/2016 Embedded Systems 1 / 9
Outline
• Computer Vision and Image Processing Definitions
• Usage of Embedded Systems (and OS) in Applications
• Some Intensive Computation Capable SoC Devices
• Free computer Vision Platforms
• Implementing An Offline Image Processing Example
Application
• Implementing A Real-Time Computer Vision Example
Application
Abolfazl Danayi 9/29/2016 Embedded Systems 2 / 9
Image Processing and Computer Vision definition
Image Processing
What is Image Processing?
The analysis and manipulation of a digitized image,
especially in order to improve its quality.
Computer Vision
What is Computer Vision?
Computer vision is the science that aims to give a similar, if not
better, capability to a machine or computer. Computer vision is
concerned with the automatic extraction, analysis and
UNDERSTANDING of useful information from a single image or
a sequence of images.
Abolfazl Danayi 9/29/2016 Embedded Systems 3 / 9
IP and CV: The main applications
IP and CV typical applications:
• Image enhancement
• Classification and Pattern-Rocognition
• Feature extraction
• Multi-scale signal analysis
• Projection (3D)
Abolfazl Danayi 9/29/2016 Embedded Systems 4 / 9
Why Embedded Systems?
Image Processing needs computation
• An image is a Matrix set
• Image feature extraction needs lots of calculations
• This amount of processing needs to be managed.
• Both supervised and unsupervised machine learning NN
algorithms need a lot of computation.
It is not just about processing!
There are some other tasks:
• Image acquisition
• Image files, results and ... should be saved
• Monitoring upon system tasks
• Result/Image transportation
• Video output
Abolfazl Danayi 9/29/2016 Embedded Systems 5 / 9
Why Embedded Systems?
Image processing is not only Image enhancement
• Image enhancement is more about calculations...
• But IP is not just IE!!! :—
• An FPGA or any other HDL inscribed device can handle
parallel processing, even REAL-TIME ones!.
• But what about some other tasks, like Unsupervised
CLASSIFICATION?
Abolfazl Danayi 9/29/2016 Embedded Systems 6 / 9
Why Embedded Systems?
Embedded Systems as a solution
-Using of Embedded systems is not the only way.
-Advantages of having OS
Abolfazl Danayi 9/29/2016 Embedded Systems 7 / 9
How to use an embedded system?
Linux based devices:
-RPi family, based on ARM Cortex-A Broad-com ICs
-Intel Family SoC devices: Intel Joule, Galileo and Edison
-Beagle Bone Black
Windows 10 IoT core based devices:
-RPi on the top: ;)
Abolfazl Danayi 9/29/2016 Embedded Systems 8 / 9
Free and POWERFULL computer vision platform
openCV!
openCV
It is free.
Can be used on IOS, Windows and Linux
centering
Abolfazl Danayi 9/29/2016 Embedded Systems 9 / 9

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پردازش تصویر در سیستم‌های نهفته نوین با استفاده از بسترهای نرم‌افزاری آزاد

  • 1. Embedded Systems Image Processing using Free Software Platforms Abolfazl Danayi adanayi95@gmail.com Software Freedom Day Sharif University of Technology 29th September 2016 Abolfazl Danayi 9/29/2016 Embedded Systems 1 / 9
  • 2. Outline • Computer Vision and Image Processing Definitions • Usage of Embedded Systems (and OS) in Applications • Some Intensive Computation Capable SoC Devices • Free computer Vision Platforms • Implementing An Offline Image Processing Example Application • Implementing A Real-Time Computer Vision Example Application Abolfazl Danayi 9/29/2016 Embedded Systems 2 / 9
  • 3. Image Processing and Computer Vision definition Image Processing What is Image Processing? The analysis and manipulation of a digitized image, especially in order to improve its quality. Computer Vision What is Computer Vision? Computer vision is the science that aims to give a similar, if not better, capability to a machine or computer. Computer vision is concerned with the automatic extraction, analysis and UNDERSTANDING of useful information from a single image or a sequence of images. Abolfazl Danayi 9/29/2016 Embedded Systems 3 / 9
  • 4. IP and CV: The main applications IP and CV typical applications: • Image enhancement • Classification and Pattern-Rocognition • Feature extraction • Multi-scale signal analysis • Projection (3D) Abolfazl Danayi 9/29/2016 Embedded Systems 4 / 9
  • 5. Why Embedded Systems? Image Processing needs computation • An image is a Matrix set • Image feature extraction needs lots of calculations • This amount of processing needs to be managed. • Both supervised and unsupervised machine learning NN algorithms need a lot of computation. It is not just about processing! There are some other tasks: • Image acquisition • Image files, results and ... should be saved • Monitoring upon system tasks • Result/Image transportation • Video output Abolfazl Danayi 9/29/2016 Embedded Systems 5 / 9
  • 6. Why Embedded Systems? Image processing is not only Image enhancement • Image enhancement is more about calculations... • But IP is not just IE!!! :— • An FPGA or any other HDL inscribed device can handle parallel processing, even REAL-TIME ones!. • But what about some other tasks, like Unsupervised CLASSIFICATION? Abolfazl Danayi 9/29/2016 Embedded Systems 6 / 9
  • 7. Why Embedded Systems? Embedded Systems as a solution -Using of Embedded systems is not the only way. -Advantages of having OS Abolfazl Danayi 9/29/2016 Embedded Systems 7 / 9
  • 8. How to use an embedded system? Linux based devices: -RPi family, based on ARM Cortex-A Broad-com ICs -Intel Family SoC devices: Intel Joule, Galileo and Edison -Beagle Bone Black Windows 10 IoT core based devices: -RPi on the top: ;) Abolfazl Danayi 9/29/2016 Embedded Systems 8 / 9
  • 9. Free and POWERFULL computer vision platform openCV! openCV It is free. Can be used on IOS, Windows and Linux centering Abolfazl Danayi 9/29/2016 Embedded Systems 9 / 9