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Digital Image Processing & Pattern Analysis (CSCE 563) Course Outline & Introduction

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

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Digital Image Processing & Pattern Analysis (CSCE 563) Course Outline & Introduction

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

  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 usingpractical examples. Prof. Amr Goneid, AUC

  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, AUC

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

  6. Pixels as Units of Images Original Image Zoomed Prof. Amr Goneid, AUC

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

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

  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, AUC

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

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

  12. Geometric Operations Prof. Amr Goneid, AUC

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

  14. Image Enhancement Prof. Amr Goneid, AUC

  15. Image EnhancementSmoothing & Sharpening Filters Prof. Amr Goneid, AUC

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

  17. Image Encryption Plain Encrypted Prof. Amr Goneid, AUC

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

  19. Edge Detection Prof. Amr Goneid, AUC

  20. Separation of Objects Prof. Amr Goneid, AUC

  21. Image Description • Boundary Description • Region Description • Texture Prof. Amr Goneid, AUC

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

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

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

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