Digital image processing

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Digital image processing

  1. 1. DIGITAL IMAGE PROCESSING by Avisek Roy 09/ECE/28
  2. 2. Contents Introduction History Key Stages In DIP Applications Conclusion References
  3. 3. IntroductionA digital image is a representation of a two-dimensional image as a finite set of digital values,called picture elements or pixels.
  4. 4. 1 pixelDigital image processing focuses on two major tasks: Improvement of pictorial information for human interpretation Processing of image data for storage, transmission and representation for autonomous machine perception
  5. 5. HistoryIn early 1920sMid to late 1920sIn 1960s Improved Early 15 tone digitalIn 1970s digital image image A picture of the moonCAT Typical head slice taken image by the Ranger 7 probe minutes before landing
  6. 6. Key Stages in Digital Image Processing Image Morphological Restoration Processing Image Segmentation Enhancement Image Acquisition Representation & DescriptionProblem Domain
  7. 7. Key Stages in Digital Image Processing:Image Acquisition Image Morphological Restoration Processing Image Segmentation Enhancement Image Acquisition Representation & DescriptionProblem Domain
  8. 8. Key Stages in Digital Image Processing:Image Enhancement Image Morphological Restoration Processing Image Segmentation Enhancement Image Acquisition Representation & DescriptionProblem Domain
  9. 9. Key Stages in Digital Image Processing:Image Restoration Image Morphological Restoration Processing Image Segmentation Enhancement Image Acquisition Representation & DescriptionProblem Domain
  10. 10. Key Stages in Digital Image Processing:Morphological Processing Image Morphological Restoration Processing Image Segmentation Enhancement Image Acquisition Representation & DescriptionProblem Domain
  11. 11. Key Stages in Digital Image Processing:Segmentation Image Morphological Restoration Processing Image Segmentation Enhancement Image Acquisition Representation & DescriptionProblem Domain
  12. 12. Key Stages in Digital Image Processing:Object Recognition Image Morphological Restoration Processing Image Segmentation Enhancement Image Acquisition Representation & DescriptionProblem Domain
  13. 13. Applications Image enhancement Artistic effects Medical visualisation Industrial inspection Law enforcement Human computer interfaces
  14. 14. Image Enhancement
  15. 15. Artistic EffectsEffects given in pictures Special Effects shown in films
  16. 16. MedicineOriginal MRI Image of a Dog Heart Edge Detection Image Original X-Ray Image Enhanced X-Ray Image
  17. 17. Industrial Inspection PCB Inspection
  18. 18. Law Enforcement Number plate recognition Fingerprint recognition
  19. 19. Human Computer Interface Face Recognition Gesture Recognition
  20. 20. Conclusion The processing of images is faster and more cost-effective. One needs less timefor processing, as well as less film and other photographing equipment. It is more ecological to process images. No processing or fixing chemicals areneeded to take and process digital images. However, printing inks are essentialwhen printing digital images. When shooting a digital image, one can immediately see if the image is good ornot. Copying a digital image is easy, and the quality of the image stays good unless itis compressed. However, it has some disadvantages too. A digital file of a certainsize cannot be enlarged with a good quality anymore. For instance, a good postercannot be made of an image file of 500 kb. However, it is easy to make an imagesmaller.
  21. 21. References• Picture Processing by Computer, New York: Academic Press, 1969• “Digital Image Processing”, Rafael C. Gonzalez & Richard E. Woods,Addison-Wesley, 2002• “Machine Vision: Automated Visual Inspection and Robot Vision”, David Vernon, Prentice Hall, 1991• Anil K. Jain, “Fundamentals Of Digital ImageProcessing”, Prentice Hall, 1986
  22. 22. THANK YOU

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