Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Hardcover, 2019)

Part I: Preliminaries

Fourier Transform

Windowed Fourier Transform

Wavelet Transform

Part II: Image Representation and Feature Extraction

Color Feature Extraction

Texture Feature Extraction

Shape Representation

Part III: Image Classification and Annotation

Bayesian Classification

Support Vector Machines

Artificial Neural Networks

Image Annotation with Decision Trees

Part IV: Image Retrieval and Presentation

Image Indexing

Image Ranking

Image Presentation

Appendix: Deriving the Conditional Probability of a Gaussian Process