Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval
Dengsheng Zhang, Federation University
Springer International Publishing, 2019
ISBN: 978-3-030-17988-5;
Language: English
Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval 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 learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments.
This book illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.
MATLAB code and examples are used throughout the book.
