{"product_id":"image-texture-analysis-foundations-models-and-algorithms-paperback","title":"Image Texture Analysis: Foundations, Models and Algorithms - Paperback","description":"\u003cp\u003eby \u003cb\u003eChih-Cheng Hung\u003c\/b\u003e (Author), \u003cb\u003eEnmin Song\u003c\/b\u003e (Author), \u003cb\u003eYihua Lan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis useful textbook\/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis.\u003c\/p\u003eTopics and features: provides self-test exercises in every chapter; describes the basics of image texture, texture features, and image texture classification and segmentation; examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification; explains the concepts of dimensionality reduction and sparse representation; discusses view-based approaches to classifying images; introduces the template for the K-views algorithm, as well as a range of variants of this algorithm; reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis useful textbook\/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides self-test exercises in every chapter\u003c\/li\u003e\n\u003cli\u003eDescribes the basics of image texture, texture features, and image texture classification and segmentation\u003c\/li\u003e\n\u003cli\u003eExamines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification\u003c\/li\u003e\n\u003cli\u003eExplains the concepts of dimensionality reduction and sparse representation\u003c\/li\u003e\n\u003cli\u003eDiscusses view-based approaches to classifying images\u003c\/li\u003e\n\u003cli\u003eIntroduces the template for the K-views algorithm, as well as a range of variants of this algorithm\u003c\/li\u003e\n\u003cli\u003eReviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Chih-Cheng Hung\u003c\/b\u003e is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China. \u003cb\u003eDr. Enmin Song\u003c\/b\u003e is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China. \u003cb\u003eDr. Yihua Lan\u003c\/b\u003e is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.​\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Chih-Cheng Hung\u003c\/b\u003e is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Enmin Song\u003c\/b\u003e is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Yihua Lan\u003c\/b\u003e is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 258\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.57 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 06, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42101894971527,"sku":"9783030137755","price":89.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/75dd1974e92d1aafbaa3d75a96ad381a.webp?v=1732398475","url":"https:\/\/booksby.splitshops.com\/products\/image-texture-analysis-foundations-models-and-algorithms-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}