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Preprocessing Techniques for Image Analysis Applications

Preprocessing Techniques for Image Analysis Applications. Hong Zhang. Preprocessing. High dimensionality Limited sample size A simple argument: Rao-Blackwell. Preprocessing. Normalization / transformation Feature extraction / elimination Kernel design. Medical Imaging Applications.

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Preprocessing Techniques for Image Analysis Applications

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  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 SVM Image Processing Feature Extraction Kernel Design

  5. Mammography

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

  7. Calcification Detection

  8. Cell Image

  9. Segmentation

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

  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 • S2 is not a topological group • SO(3) is not Abelian • Torus • Quaternion

  16. Circulating Tumor Cells

  17. Automatic CTC Detection

  18. Canonical Correlation Analysis Maximize correlation Functional MRI

  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

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