Chih-Cheng Hung: Image Texture Analysis
Image Texture Analysis
Buch
- Foundations, Models and Algorithms
- Springer International Publishing AG, 06/2019
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783030137724
- Bestellnummer: 8943079
- Umfang: 272 Seiten
- Nummer der Auflage: 19001
- Auflage: 1st ed. 2019
- Gewicht: 576 g
- Maße: 235 x 155 mm
- Stärke: 20 mm
- Erscheinungstermin: 17.6.2019
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Image Texture Analysis
Klappentext
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.