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Image Texture Analysis: Foundations, Models and Algorithms
Hardcover
ISBN13: 9783030137724
Publisher: Springer Nature
Published: Jun 17 2019
Pages: 258
Weight: 1.23
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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.
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.
1 different editions
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