Fundamentals of Image Data Mining Analysis, Features, Classification and Retrieval /

• Main Author: Zhang, Dengsheng (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Texts in Computer Science,
• Subjects: Optical data processing.; Data mining.; Machine learning.; Engineering mathematics.; Big data.; Image Processing and Computer Vision.; Data Mining and Knowledge Discovery.; Machine Learning.; Engineering Mathematics.; Big Data.

This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learnin...

Table of Contents:

• 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.