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Introduction of image processing

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It is the basic introduction of how the images will be captured and converted form analog to digital format by using sampling and quantization process and further algorithms will be apply on the digitized image.

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Introduction of image processing

  1. 1. Introduction of Digital Image Processing
  2. 2. What is an image?
  3. 3. Basic elements of an image processing • Image Acquisition (camera) • Image storage (Frame grabber card) • Image processing (Algorithms) • Display (monitor/VGC) • Transmission (If required) 3
  4. 4. Image types: 1. Monochrome images (Binary image-single bit) 2. Grey scale images (8bits-3 samples per point) 3. Color image (24-bit-8 samples per point)` 4
  5. 5. Image format • BMP • TIFF • GIF • JPEG 5
  6. 6. Sampling and Quantisation To digitize the analog images. Digitization= Sampling +Quantization Sampling: Convolution in time domain is multiplication in frequency domain and vice versa. 6
  7. 7. A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels. F(x , y)= 7 1 pixel Pixel values typically represent gray levels, colors, heights, etc. Digitization implies that a digital image is an approximation of a real scene
  8. 8. The way from Image processing to Computer vision is from three levels processes Image Processing Computer Graphics Computer Vision Level 1 Noise removals Level 2 Object Recognition & Segmentation Level 3 Scene understanding & automated Navigation 8
  9. 9. Digital Image Processing System 9 Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  10. 10. 10 Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression Digital Image Processing System : Image Enhancement
  11. 11. Digital Image Processing System : Image Restoration 11 Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  12. 12. Digital Image Processing System : Morphological Processing 12 Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression Image Acquisition
  13. 13. Digital Image Processing System : Segmentation 13 Image Restoration Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression Morphological Processing Segmentation Image Acquisition Segmentation
  14. 14. Digital Image Processing System : Object Recognition 14 Image Acquisition Image Restoration Morphological Processing Segmentation Image Enhancement Problem Domain Colour Image Processing Image Compression Representation & Description Object Recognition
  15. 15. Digital Image Processing System : Representation & Description 15 Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  16. 16. Digital Image Processing System : Image Compression 16 Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  17. 17. Digital Image Processing System : Colour Image Processing 17 Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  18. 18. Applications of Image processing 1. Biometrics 2. Medical 3. Space 18
  19. 19. Biometric System • Biometrics comprises methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits. • Physiological are related to the shape of the body. • Behavioral are related to the behaviour of a person. Examples like Gait, Voice, Signature and Key Stroke. 19
  20. 20. Physiological & Behavioral Biometric Traits 20
  21. 21. 21
  22. 22. Thank you.. May 26, 2016 Sample footer 22

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