1. Digital Image Processing & Pattern Analysis (CSCE 563) Course Outline & Introduction Prof. Amr Goneid Department of Computer Science & Engineering The American University in Cairo

2. Text Book & Other References Text Book: R. Gonzalez & P. Woods, “Digital Image Processing “, Addison- Wesley, 2 nd Edition, 2002 R. Gonzalez, R. Woods and S. Eddins, “ Digital Image Processing with MATLAB”, Pearson Prentice Hall, 2004 Other References: 1.M. Seul, L. O'Gorman, M.J. Sammon, "Practical Algorithms for Image Analysis", Cambridge University Press, 2000. 2.T. Young & K.S. Fu, Ed., “Handbook of Pattern Recognition and Image Processing“, Academic Press, 1986 3.MATLAB Image Processing Toolbox 4.Selected Research Papers 5.Web Page: www.cse.aucegypt.edu/~csci563/www.cse.aucegypt.edu/~csci563/ Prof. Amr Goneid, AUC2

3. Course Description Fundamental concepts and basic techniques of digital image processing. Algorithms and recent research in image transformation, enhancement, restoration, encoding and description. Fundamentals and basic techniques of pattern recognition. Hands-on experience in image processing and pattern analysis using practical examples. Prof. Amr Goneid, AUC3

4. Topics Introduction to Image Processing Acquisition, Representation and Storage of Digital Images Geometric Transformations. Intensity Transformations & Image Enhancement Image Encoding (Compression & Encryption) Segmentation & Description Fundamental Concepts in Pattern Recognition Prof. Amr Goneid, AUC4

5. Grading Assignments: 15% Midterm Exam20% Term Project: 20% Terms Paper: 20% Final Exam: 25% Prof. Amr Goneid, AUC5

6. Pixels as Units of Images Original ImageZoomed Prof. Amr Goneid, AUC6

7. Color & Gray Scale Prof. Amr Goneid, AUC7

8. Binary Images Binary Image (2 Levels) Prof. Amr Goneid, AUC8

9. Fundamental Steps in Image Processing Digital Image Acquisition & Display Image Storage Image Preprocessing Image Segmentation Image Description Object ( Pattern ) Recognition Image Interpretation & Understanding Prof. Amr Goneid, AUC9

10. Fundamental Steps in IP Knowledge Base Preprocessing Segmentation Representation & Description Recognition & Interpretation Problem Image Acquisition Prof. Amr Goneid, AUC10

11. Image Preprocessing Geometric Operations Image Transformation Image Enhancement Image Restoration Image Compression Image Encryption Prof. Amr Goneid, AUC11

12. Geometric Operations Prof. Amr Goneid, AUC12

13. Intensity Transformation Gray Scale (256 levels)Negative Prof. Amr Goneid, AUC13

14. Image Enhancement Prof. Amr Goneid, AUC14

15. Image Enhancement Smoothing & Sharpening Filters Prof. Amr Goneid, AUC15

16. Image Compression BMP Format (1885 Kb)JPEG Format (64 Kb) Prof. Amr Goneid, AUC16

17. Image Encryption PlainEncrypted Prof. Amr Goneid, AUC17

18. Image Segmentation Point, Line and Edge Detection Separation of Objects ( Thresholding ) Motion Detection Prof. Amr Goneid, AUC18

19. Edge Detection Prof. Amr Goneid, AUC19

20. Separation of Objects Prof. Amr Goneid, AUC20

21. Image Description Boundary Description Region Description Texture Prof. Amr Goneid, AUC21

22. Pattern Analysis Pattern Classification Matching Neural Networks Prof. Amr Goneid, AUC22

23. Some Applications Line Detection (e.g. Hough Transform) Shape Recognition Character Recognition Face Recognition Fingerprint Identification Many Others Prof. Amr Goneid, AUC23

24. Image Understanding Image Databases (e.g. CBIR) Knowledge Bases Expert Systems Prof. Amr Goneid, AUC24