Digital image processing

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Digital image processing

  1. 1. Digital image processing RAVI JINDAL Joint Masters, SEGE (M1) Second semester B.K. Birla institute of Engineering & Technology, Pilani 1
  2. 2. What is a digital image? 2
  3. 3.  Processing of images which are Digital in nature by a Digital computer  Common image formats include: – 1 sample per point (B&W or Gray scale) – 3 samples per point (Red, Green, and Blue) – 4 samples per point (Red, Green, Blue, and “Alpha”, Opacity) 3
  4. 4. Why we need image processing? It is motivated by three major application Improvement of pictorial information for human perception Image processing for autonomous machine application Efficient storage and transmission 4
  5. 5. Key Stages in Digital Image Processing Image Acquisition Image Restoration Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression 5
  6. 6. Key Stages in Digital Image Processing: Image Acquisition Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression 6
  7. 7. Key Stages in Digital Image Processing: Image Enhancement Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression 7
  8. 8. Image Acquisition Image Restoration Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression Key Stages in Digital Image Processing: Image Restoration 8
  9. 9. Image Acquisition Image Restoration Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression Key Stages in Digital Image Processing: Segmentation 9
  10. 10. Key Stages in Digital Image Processing: Object Recognition Image Acquisition Image Restoration Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression 10
  11. 11. Key Stages in Digital Image Processing: Representation & Description Image Acquisition Image Restoration Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression 11
  12. 12. Key Stages in Digital Image Processing: Image Compression Image Acquisition Image Restoration Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression 12
  13. 13. Key Stages in Digital Image Processing: Colour Image Processing Image Acquisition Image Restoration Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression 13
  14. 14. Human perception  Employ method is capable of enhancing pictorial information for human interpretation and analysis  Typical application :-  Noise filter  content enhancement  contrast enhancement  DE blurring  remote sensing 14
  15. 15. Filtering Filtered Image Noisy Image 15
  16. 16. Image Enhancement Enhanced Image Low Contrast Image 16
  17. 17. Image Enhancement Enhanced Image Low Contrast Image 17
  18. 18. Image DE blurring Defocused Motion Blurred DE blurred 18
  19. 19.  Human operators are expensive, slow and unreliable Make machines do the job instead Industrial vision systems are used in all kinds of industries 19 Industrial Inspection
  20. 20. Medicine • Take slice from MRI scan of canine heart, and find boundaries between types of tissue • Image with grey levels representing tissue density • Use a suitable filter to highlight edges 20 Original MRI Image of a Dog Heart Edge Detection Image
  21. 21.  Try to make human computer interfaces more natural Face recognition Gesture recognition Does anyone remember the user interface from “Minority Report”? These tasks can be extremely difficult 21 Examples: HCI
  22. 22. References • http://www.owlnet.rice.edu/~elec539/Projects99/BACH/p roj2/intro.html • https://www.cs.auckland.ac.nz/courses/compsci773s1c/le ctures/ImageProcessing-html/topic3.htm • http://freevideolectures.com/Course/2316/Digital-Image- Processing-IIT-Kharagpur# 22
  23. 23. Thank You  • rjindal21@gmail.com 23

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