Fundamentals of Image Data Mining av Dengsheng Zhang

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<p>This unique and useful 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 learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. </p><p> </p><p><b>Topics and features:</b> </p> <p></p><ul><li>Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms</li><li>Develops <i>many new exercises</i> (most with MATLAB code and instructions)</li><li>Includes review summaries at the end of each chapter</li><li>Analyses state-of-the-art models, algorithms, and procedures for image mining</li><li>Integrates <i>new sections</i> on pre-processing, d