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Digital Image Processing ECE.09.452/ECE.09.552 Fall 2009

Digital Image Processing ECE.09.452/ECE.09.552 Fall 2009. Lecture 1 September 14, 2009. Shreekanth Mandayam ECE Department Rowan University http://engineering.rowan.edu/~shreek/fall09/dip/. http://www.apple.com/iphone/. Galaxies from Ultra-Deep-Field.

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Digital Image Processing ECE.09.452/ECE.09.552 Fall 2009

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  1. Digital Image ProcessingECE.09.452/ECE.09.552Fall 2009 Lecture 1September 14, 2009 Shreekanth Mandayam ECE Department Rowan University http://engineering.rowan.edu/~shreek/fall09/dip/

  2. http://www.apple.com/iphone/

  3. Galaxies from Ultra-Deep-Field “Pillars of Creation” Eagle Nebula (M16) Supernova remnant: Crab Nebula Jupiter http://hubblesite.org/

  4. ABA E-13B Font

  5. Biometrics

  6. Plan • What is an image? • Mathematical representation of monochromatic images • What is a digital image? • Digital image processing • Fundamental steps • Why do we need this? • Course logistics • Self-Assessment Test • Sampling & Quantization • Image Preprocessing • Pre-Lab 1

  7. column f(x, y) row y x Images Sample Quantize

  8. Digital Image y x Gray Level f(x,y)

  9. M B R W Y C G Color Images Mixtures of Light: Additive Primaries

  10. B B G G R+G+B R+G+B R R B G R+G+B R B G R+G+B B R G R+G+B R B G R+G+B R

  11. RGB Color Space

  12. Fundamental Steps Representation & Description Preprocessing Segmentation Knowledge Base Problem Domain Image Acquisition Recognition & Interpretation Result

  13. The Human Eye Sagittal section of adult human eye Section of human retina http://webvision.med.utah.edu/anatomy.html

  14. Perceived Brightness

  15. Perceived Contrast

  16. Optical Illusions

  17. DIP: Details

  18. DIP: Course Logistics http://engineering.rowan.edu/~shreek/fall09/dip/

  19. Sampling & Quantization • Sampling demos/demo1sampling_and_quantization/demo_sampling.m • Quantization demos/demo1sampling_and_quantization/demo_quant.m

  20. Image Preprocessing Restoration Enhancement • Inverse filtering • Wiener filtering Spectral Domain Spatial Domain • Filtering • >>fft2/ifft2 • >>fftshift • Point Processing • >>imadjust • >>histeq • Spatial filtering • >>filter2

  21. Point Processing(Intensity Transformation) s(x,y) = T{ r(x,y)} Transformed Gray Level Original Gray Level Transformation Function >>imadjust

  22. Pre-Lab 1: Intro to Matlab IP Toolbox http://engineering.rowan.edu/~shreek/fall09/dip/ipintro.html

  23. Summary

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