Image Texture Analysis : Foundations, Models and Algorithms Hardback
by Chih-Cheng Hung, Enmin Song, Yihua Lan
Hardback
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Description
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. 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. 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.
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Hardback
- Pages:258 pages, 73 Illustrations, color; 69 Illustrations, black and white; XII, 258 p. 142 illus., 73 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:17/06/2019
- Category:
- ISBN:9783030137724
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Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Hardback
- Pages:258 pages, 73 Illustrations, color; 69 Illustrations, black and white; XII, 258 p. 142 illus., 73 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:17/06/2019
- Category:
- ISBN:9783030137724