{"product_id":"fundamentals-of-image-data-mining-analysis-features-classification-and-retrieval-9783030692506","title":"Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval","description":"\u003cp\u003e • Author(s): Dengsheng Zhang\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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. \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDescribes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms\u003c\/li\u003e\n\u003cli\u003eDevelops \u003ci\u003emany new exercises\u003c\/i\u003e (most with MATLAB code and instructions)\u003c\/li\u003e\n\u003cli\u003eIncludes review summaries at the end of each chapter\u003c\/li\u003e\n\u003cli\u003eAnalyses state-of-the-art models, algorithms, and procedures for image mining\u003c\/li\u003e\n\u003cli\u003eIntegrates \u003ci\u003enew sections\u003c\/i\u003e on pre-processing, discrete cosine transform, and statistical inference and testing\u003c\/li\u003e\n\u003cli\u003eDemonstrates how features like color, texture, and shape can be mined or extracted for image representation\u003c\/li\u003e\n\u003cli\u003eApplies powerful classification approaches: Bayesian classification, support vector machines, neural networks, and decision trees\u003c\/li\u003e\n\u003cli\u003eImplements imaging techniques for indexing, ranking, and presentation, as well as database visualization\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eThis easy-to-follow, award-winning 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45277063938199,"sku":"9783030692506","price":5141.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030692506.webp?v=1769287390","url":"https:\/\/atlanticbooks.com\/products\/fundamentals-of-image-data-mining-analysis-features-classification-and-retrieval-9783030692506","provider":"Atlantic Books","version":"1.0","type":"link"}