1. COMPUTER VISION 600.461 Larry Wolff MTW 11-12 wolff@cs.jhu.edu, Office: 212NEB Office Hours: Wed. 1-2PM

2. September 8, 19982 REQUIREMENTS This is an introductory course on Computer Vision. No previous knowledge of computer vision or image analysis is required. Prerequisite is only that you be computer literate: -Know how to program in C. -Have had some exposure to UNIX type environments. -Able to use a Web Browser.

3. September 8, 19983 GRADING Midterm 20% Final 30% Problem Sets and Lab Projects 50%

4. September 8, 19984 RESOURCES You will need an account on a workstation such as a SUN, DEC, or an SGI. Of course direct access to the JHU network is highly desireable. PCs running Linux may be OK. Windows could be problematic.

5. September 8, 19985 OVERVIEW COMPUTER IMAGING COMPUTER VISIONIMAGE PROCESSING

6. September 8, 19986

7. 7 TIME VOLTAGE X X X X One Pixel One Scanline IMAGE

8. September 8, 19988 ORGANIZATION OF A 2D IMAGE Pixel Binary 1 bit Grey 1 byte Color 3 bytes

9. September 8, 19989 BINARY IMAGE

10. September 8, 199810 GREYSCALE IMAGE

11. September 8, 199811 COLOR IMAGE

12. September 8, 199812 RED GREEN BLUE yellow magenta cyan red green SCHEMES FOR REPRESENTING COLOR yellow cyan blue magenta INTENSITY RGB HSL hue saturation

13. September 8, 199813 IMAGE FILE FORMATS Why are there so many ? JPEG tiff gif PPM pgm BMP EPS

14. September 8, 199814

15. September 8, 199815 OTHER IMAGING MODALITIES Medical Imaging Range sensing Thermal IR

16. September 8, 199816 CATSCAN IMAGE

17. September 8, 199817 RANGE IMAGE

18. September 8, 199818 THERMAL IMAGE

19. September 8, 199819 THE HUMAN EYE

20. September 8, 199820 THE HUMAN EYE

21. September 8, 199821 Raw Image Data (pixels) Preprocessing (images, subimages) Segmentation Edge Detection (spectrum, edges, lines) Feature Extraction Low Level High Level HIERARCHICAL IMAGE PYRAMID

22. September 8, 199822 CONTRAST ENHANCEMENT

23. September 8, 199823 THRESHOLDED SEGMENTATION

24. September 8, 199824 HOMEWORK ASSIGNMENT Due Wed. Sept. 16 Get familiar with a really useful image display tool called ‘XV’ Works on popular ‘Command Line’ environments such as UNIX and on DECs and SGIs. If you don’t already have this you can ftp from ftp://ftp.cis.upenn.edu/pub/xv

25. September 8, 199825 HOMEWORK ASSIGNMENT Due Wed. Sept. 16 Access image files by logging into cs.jhu.edu via anonymous ftp Display the image trees.gif and enhance contrast using ‘intensity correction’. Try to segment trees.gif into a binary image using ‘intensity correction’. Display desert.gif and modify individual RGB color bands.