product
4062695Image Texture Analysishttps://www.gandhi.com.mx/image-texture-analysis-9783030137731/phttps://gandhi.vtexassets.com/arquivos/ids/2638074/508d9996-25e2-4a7b-bdfe-96ac9412698d.jpg?v=6383842494763300009171019MXNSpringer International PublishingInStock/Ebooks/<p>This 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.</p><p>Topics 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.</p><p>This 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.</p>...3998887Image Texture Analysis9171019https://www.gandhi.com.mx/image-texture-analysis-9783030137731/phttps://gandhi.vtexassets.com/arquivos/ids/2638074/508d9996-25e2-4a7b-bdfe-96ac9412698d.jpg?v=638384249476330000InStockMXN99999DIEbook20199783030137731_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9783030137731_<p>This 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.</p><p>Topics 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.</p><p>This 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.</p>...9783030137731_Springer International Publishinglibro_electonico_03538811-7fbe-327c-8eb6-9860fefe0ae2_9783030137731;9783030137731_9783030137731Yihua LanInglésMéxico2019-06-05T00:00:00+00:00Springer International Publishing