| 书目名称 | Image Texture Analysis | | 副标题 | Foundations, Models | | 编辑 | Chih-Cheng Hung,Enmin Song,Yihua Lan | | 视频video | | | 概述 | Reviews the state of the art in models and algorithms for texture analysis, including deep learning and image texture analysis.Introduces the K-View model and its advanced models, highlighting the ben | | 图书封面 |  | | 描述 | .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 an | | 出版日期 | Textbook 2019 | | 关键词 | Image Texture Analysis; Digital Image Processing; K-View Model; Texture Classification; Deep Learning; Co | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-13773-1 | | isbn_softcover | 978-3-030-13775-5 | | isbn_ebook | 978-3-030-13773-1 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 19:37:56
