1. Preprocessing Techniques for Image Analysis Applications Hong Zhang

2. Preprocessing High dimensionality Limited sample size A simple argument: Rao-Blackwell

3. Preprocessing Normalization / transformation Feature extraction / elimination Kernel design

4. Medical Imaging Applications Image Processing Feature Extraction Kernel Design imageSVM

5. Mammography

6. Mathematical Morphology Erosion Dilation Opening Closing Tophat Watershed Reconstruction Skeletonization

7. Calcification Detection

8. Cell Image

9. Segmentation

10. Simple Features Area Length Elongation Eccentricity Compactness Mean Variance Density Fractal dimension Moments

11. Kernel Invariance

12. Translation Invariance

13. Rotation Invariance

14. The Fourier Kernel translation rotation

15. 3D Problems Harmonic analysis on locally compact Abelian group S 2 is not a topological group SO(3) is not Abelian Torus Quaternion

16. Circulating Tumor Cells

17. Automatic CTC Detection

18. Canonical Correlation Analysis Functional MRI Maximize correlation

19. Flow Cytometry

20. Distance Measures Bhattacharyya affinity Nearest neighbor error Mahalanobis distance Kullback-Leibler divergence Jeffreys’ divergence

21. Kernel on Distributions

22. Clustering Gaussian mixture K-means EM algorithm Regularization