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Computer Vision – Introduction

Computer Vision – Introduction. Hanyang University Jong-Il Park. This Class. Goal Understanding basic concepts and methodologies for image processing(IP) Developing a foundation for further study and research in IP and computer vision(CV) Learning how to develop IP/CV software How?

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Computer Vision – Introduction

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  1. Computer Vision – Introduction Hanyang University Jong-Il Park

  2. This Class • Goal • Understanding basic concepts and methodologies for image processing(IP) • Developing a foundation for further study and research in IP and computer vision(CV) • Learning how to develop IP/CV software • How? • Lectures: 3 hours/week • Ordinary lecture(3/4) • Programming lesson(1/4) • Assignments: 2~3/month

  3. Textbook • Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, 3rd Edition, Prentice Hall, 2002. • References • Inoue et al., C언어로 배우는 실천 영상처리, 성안당, 2003. • 황선규, 영상처리프로그래밍 by Visual C++, 한빛미디어, 2007.

  4. Background 1. Probability Theory and Random Process 2. Linear Algebra 3. Signals and Systems 4. Digital Signal Processing 5. C/C++ programming skill

  5. Images

  6. What is Image? • picture size  picture resolution ; 256256, 512512 • 0  f(x,y)  L(=255) ; gray level, 8bit/pixel • (x,y) ;spatial coordinate • t ;temporal coordinate

  7. Image formation

  8. [http://learn.hamamatsu.com/articles/microscopyimaging.html]

  9. Image Coordinate

  10. ; M×N matrix ;aij= f (x=i, y=j)

  11. Spatial Resolution

  12. Gray-Level Resolution 256 128 16 8 64 32 4 2

  13. [http://learn.hamamatsu.com/articles/microscopyimaging.html]

  14. Functional form • Functional forms • f(x,y) : 2-D still image • f(x,y,t), f(x,y,z) : video sequence, 3D object • f(x,y,z,t) : moving 3-D object • Meaning • brightness(luminance) or color of an object • TV camera, scanner • absorption characteristics of objects(especially bodies) • X-ray imaging, Ultrasonic imaging, CT • distance between objects and measuring instrument • sonar imaging, radar imaging, range camera • temperature of an object • IR(infrared) camera

  15. Famous Images Barboon (512*512) Boat (512*512) Lena (512*512)

  16. First photograph due to Niepce, First on record shown - 1822 Basic abstraction is the pinhole camera First successful commercial photograph due to Eastman in late 19th First photograph

  17. First digital picture

  18. First digital image processing • Early 1960s

  19. DIP in medical imaging • Late 1960s and early 1970s • Computed tomography(CT) Recent Application NIKS Hanyang Univ. 2002.

  20. EM spectrum

  21. Examples:Gamma-ray imaging

  22. Examples:X-ray imaging

  23. Examples:Microscopy images

  24. Thematic bands

  25. Examples:Multi-spectral imaging

  26. Examples:Imaging in the visible band

  27. Examples:Infrared imaging Nighttime Lights of The World

  28. Examples:Microwave imaging Radar image

  29. Examples:Radio band imaging

  30. Examples:Ultrasound imaging

  31. Examples:Electron microscope Scanning Electron Microscope

  32. Examples:Computer-generated images

  33. IP vs. Computer Vision Vision continuum Image processing Image analysis Computer vision Mid-level High-level Low-level • Filtering • Enhancement • Restoration • Edge detection • Compression • Segmentation • Classification • Recognition • AI Image-in Image-out Image-in Feature-out Image-in Decision-out

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