National Tsing Hua University
Department of Computer Science

Course Title: CS6531 :     Algorithms for Image Analysis       Syllabus

Credits: 3 (Spring, 2012)

Classes: 10:10-12 Monday and 9-9:50 Wednesday at EECS 125

Instructor: Chaur-Chin Chen

Tel/E-mail: (03) 573-1078 (O),     (03) 571 5131 Ext. 33557 (Lab),     cchen@cs.nthu.edu.tw

Prerequisites: Matlab ,   C/C++ ,   ISA5305 [CS3331, CS3332, CS5540],   CS4520 [CS5530]  

Contents:
1. Introduction    Linear Algebra    Probability Theory    Image Processing 
    Print Images using raw2ps.c     raw2ps.c     mandrill and koala
    Prepare a paper     ICME paper     Watermarking     Microarray     JPEG2000
    Intensity Transform and Spatial Filtering       Image Transform     Discrete Fourier Transform     Wavelet Transformed Lenna
    Image Segmentation     Illustration     Matlab Code     otsu.c
    Skeletonization     thinY.c     Character Q     Character X
    Face and Fingerprint     Fingerprint Image Processing     Fingerprints     Face 2001     Face Retrieval     Face 2008    
2. Introduction to Pattern Recognition    Bayes Decision     Matlab for 2 Chi-Squares     Illustration of Bayes Decision    
    Applications of Multiple Biosignals     Volumes of n-dimensional spheres    iris data    PCA notes     Simulation for Bayes Decision    
    Matlab code for Bayesian Classifier     Mahalanobis Distance     Matlab code for Fisher's Linear Discriminant     Matlab code for K-NN Classifier   
3. Review of Cluster Analysis     LBG Algorithm for VQ     A Codebook of 256 Codewords    Data Clustering   
4. Image Data Compression     Still Image Coding by Wallace     Fractal Coding    
    A Comparison of Image Compression     PPT for Image Data Compression    
5. Color Image Analysis     Spots Generation     RGB to Tiff Conversion     Example        
6. Biometrics: Advanced Identity Verification      
    Fingerprint Verification Paper     Face Recognition Paper      Slides for Face Recognition    
7. Watermarking and Steganography    SPIE Presentation    Watermarking by Wavelet Transform    
    1998 Steganography Paper    2001 Watermarking Paper     2004 Steganography Paper    
8. Microarray Image Data Analysis     clusterbio.m     biodata.txt     Paper to Read    
9. Data Mining     Machine Learning     Data Mining     Pattern Recognition
10. Other Topics     Linear and Nonlinear Classifiers
    Matlab for Quadratic Classifier     Matlab for Mahalanobis Distance     Iris data in XLS    

Textbooks:
1. J.R. Parker, Algorithms for Image Processing and Computer Vision, Wiley Publishing Inc., Secong Edition, (2011)
2. R.C. Gonzalez, R.E. Woods, S.L. Eddins, Digital Image Processing Using Matlab, Pearson Prentice Hall (2004)
3. I.J. Cox, M.L. Miller, J.A. Bloom, J. Fridrich, T. Kalker, Digital Watermarking and Steganography, Morgan Kaufmann (2008)
4. Assigned Readings

References:
1. R.O. Duda, P.E. Hart, and D.G. Stork , Pattern Classification, John Wiley (2001)
2. S. Theodoridis and K. Koutroumbas , Pattern Recognition (2006)
3. I. Pitas, Digital Image Processing Algorithms and Applications, John Wiley & Sons (2000)
4. T. Hastie, R. Tibshirani, J. Friedman , The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2001)
5. D. Hanselman and B. Littlefield , Mastering MATLAB 7 (2005)
6. Z.N. Li and M.S. Drew, Fundamentals of Multimedia (2004)
7. T.S. Taubman and M.W. Marcellin , JPEG 2000: Image Compression Fundamentals, Standards and Practice (2002)
8. W.B. Pennebaker and J.L. Mitchell , JPEG Still Image Data Compression Standard (1993).
9. W. Trappe and L.C. Washington , Introduction to Cryptography with Coding Theory (2001)
10. W. Stallings , Cryptography and Network Security (200Y)
11. J. Ashbourn , Biometrics: Advanced Identity Verification (2000)
12. Journals: PR, PRL, IEEE Trans. on PAMI, IP, Multimedia, SMC, Computers, Infor. Thy, The Proceedings of IEEE, Bioinformatics,...
13. Conference Proceedings: ICIP, ICPR, ICME, ICASSP, SPIE/VCIP,...
14. Magazines: IEEE Computers, Communications of ACM, IEEE Spectrum,...
15. C.S. Burrus, R.A. Gopinath, and H. Guo , Introduction to Wavelets and Wavelet Transforms: A Primer (1998)

Grading:
  • Homework and Class Attendance (30%), Exam (30%), Presentations and Report (40%)
  • Problems for Practice

    Technical Report due by 11:59 am, June 20, 2012

    Updated on February 17, 2013