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Handbook of Texture Analysis

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Release : 2024-06-21
Genre : Computers
Kind : eBook
Book Rating : 909/5 ( reviews)

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Book Synopsis Handbook of Texture Analysis by : Ayman El-Baz

Download or read book Handbook of Texture Analysis written by Ayman El-Baz. This book was released on 2024-06-21. Available in PDF, EPUB and Kindle. Book excerpt: The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis. This book: Discusses first-order, second-order statistical methods, local binary pattern (LBP) methods, and filter bank-based methods Covers spatial frequency-based methods, Fourier analysis, Markov random fields, Gabor filters, and Hough transformation Describes advanced textural methods based on DL as well as BD and advanced applications of texture to medial image segmentation Is aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering This is an essential reference for those looking to advance their understanding in this applied and emergent field.

Handbook of Pattern Recognition and Computer Vision

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Release : 1999
Genre : Computers
Kind : eBook
Book Rating : 731/5 ( reviews)

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Book Synopsis Handbook of Pattern Recognition and Computer Vision by : C. H. Chen

Download or read book Handbook of Pattern Recognition and Computer Vision written by C. H. Chen. This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt: The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference.

Surface Texture Analysis

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Release : 1992
Genre : Surfaces (Technology)
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Surface Texture Analysis by : Leigh Mummery

Download or read book Surface Texture Analysis written by Leigh Mummery. This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt:

Image Texture Analysis

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Release : 2019-06-05
Genre : Computers
Kind : eBook
Book Rating : 732/5 ( reviews)

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Book Synopsis Image Texture Analysis by : Chih-Cheng Hung

Download or read book Image Texture Analysis written by Chih-Cheng Hung. This book was released on 2019-06-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Texture Analysis

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Release : 2009-11-16
Genre : Science
Kind : eBook
Book Rating : 669/5 ( reviews)

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Book Synopsis Introduction to Texture Analysis by : Olaf Engler

Download or read book Introduction to Texture Analysis written by Olaf Engler. This book was released on 2009-11-16. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Introduction to Texture Analysis: Macrotexture, Microtexture, and Orientation Mapping broke new ground by collating seventy years worth of research in a convenient single-source format. Reflecting emerging methods and the evolution of the field, the second edition continues to provide comprehensive coverage of the concepts, pra

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