Segmentation And Classification Of Textured Images

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Handbook of Pattern Recognition and Computer Vision

Author : C. H. Chen
Publisher : World Scientific
ISBN 13 : 9812384731
Total Pages : 1045 pages
Book Rating : 4.8/5 (123 download)

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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 and published by World Scientific. This book was released on 1999 with total page 1045 pages. 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.

Segmentation and Classification of Textured Images

Author : Zhigang Fan
Publisher :
ISBN 13 :
Total Pages : 242 pages
Book Rating : 4.:/5 (214 download)

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Book Synopsis Segmentation and Classification of Textured Images by : Zhigang Fan

Download or read book Segmentation and Classification of Textured Images written by Zhigang Fan and published by . This book was released on 1988 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Texture Analysis

Author : Chih-Cheng Hung
Publisher : Springer
ISBN 13 : 3030137732
Total Pages : 264 pages
Book Rating : 4.0/5 (31 download)

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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 and published by Springer. This book was released on 2019-06-05 with total page 264 pages. 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.

Textured Image Representation, Classification and Segmentation

Author : Hazem Mahmoud Raafat
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.:/5 (639 download)

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Book Synopsis Textured Image Representation, Classification and Segmentation by : Hazem Mahmoud Raafat

Download or read book Textured Image Representation, Classification and Segmentation written by Hazem Mahmoud Raafat and published by . This book was released on 1985 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Author : Rani, Geeta
Publisher : IGI Global
ISBN 13 : 1799827437
Total Pages : 586 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by : Rani, Geeta

Download or read book Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning written by Rani, Geeta and published by IGI Global. This book was released on 2020-10-16 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Image Texture Analysis

Author : Tieniu Tan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (595 download)

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Book Synopsis Image Texture Analysis by : Tieniu Tan

Download or read book Image Texture Analysis written by Tieniu Tan and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Color and Texture Based Image Analysis

Author : George Paschos
Publisher :
ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.:/5 (35 download)

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Book Synopsis Color and Texture Based Image Analysis by : George Paschos

Download or read book Color and Texture Based Image Analysis written by George Paschos and published by . This book was released on 1996 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Feature Extraction and Classification Methods of Texture Images

Author : Ajay Kumar Singh
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659417399
Total Pages : 96 pages
Book Rating : 4.4/5 (173 download)

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Book Synopsis Feature Extraction and Classification Methods of Texture Images by : Ajay Kumar Singh

Download or read book Feature Extraction and Classification Methods of Texture Images written by Ajay Kumar Singh and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: In texture classification the goal is to assign an unknown sample texture image to one of a set of known texture classes.Important applications include industrial and bio medical surface inspection, for example for defects and disease, ground classification and segmentation of satellite or aerial imagery, segmentation of textured regions in document analysis, and content-based access to image databases. However, despite many potential areas of application for texture analysis in industry there is only a limited number of successful examples. A major problem is that textures in the real world are often not uniform, due to changes in orientation, scale or other visual appearance. In addition, the degree of computational complexity of many of the proposed texture measures is very high.A wide variety of techniques for describing image texture have been proposed in literature. This work is an analysis of texture image classification in different classifier under two different features called wavelet and statistical. The result shows that image classification with wavelet feature and feed forward neural network gives better result.

Pixel Classification Via Texture 'tuned' Masks

Author : Jia You
Publisher :
ISBN 13 :
Total Pages : 486 pages
Book Rating : 4.:/5 (224 download)

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Book Synopsis Pixel Classification Via Texture 'tuned' Masks by : Jia You

Download or read book Pixel Classification Via Texture 'tuned' Masks written by Jia You and published by . This book was released on 1992 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Soft Computing

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 3319071769
Total Pages : 834 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2014-05-22 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and Their Applications, Fuzzy Systems and Their Applications, Evolutionary Algorithms and Their Applications, Classification and Estimation, Computer Vision, Image and Speech Analysis and Special Session 3: Intelligent Methods in Databases. The 71 papers in the second volume are organized in the following subjects: Data Mining, Bioinformatics, Biometrics and Medical Applications, Agent Systems, Robotics and Control, Artificial Intelligence in Modeling and Simulation, Various Problems of Artificial Intelligence, Special Session 2: Machine Learning for Visual Information Analysis and Security, Special Session 1: Applications and Properties of Fuzzy Reasoning and Calculus and Clustering.

Texture Analysis for Magnetic Resonance Imaging

Author : Milan Hájek
Publisher : Texture Analysis Magn Resona
ISBN 13 : 9788090366008
Total Pages : 248 pages
Book Rating : 4.3/5 (66 download)

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Book Synopsis Texture Analysis for Magnetic Resonance Imaging by : Milan Hájek

Download or read book Texture Analysis for Magnetic Resonance Imaging written by Milan Hájek and published by Texture Analysis Magn Resona. This book was released on 2006 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scene Segmentation of Natural Images Using Texture Measures and Back-propagation

Author :
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (317 download)

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Book Synopsis Scene Segmentation of Natural Images Using Texture Measures and Back-propagation by :

Download or read book Scene Segmentation of Natural Images Using Texture Measures and Back-propagation written by and published by . This book was released on 1993 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Classification and Segmentation of Textured Images Using Gaussian Markov Random Fields

Author : Marina Musgrave
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (81 download)

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Book Synopsis Classification and Segmentation of Textured Images Using Gaussian Markov Random Fields by : Marina Musgrave

Download or read book Classification and Segmentation of Textured Images Using Gaussian Markov Random Fields written by Marina Musgrave and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biomedical Texture Analysis

Author : Adrien Depeursinge
Publisher : Academic Press
ISBN 13 : 0128123214
Total Pages : 432 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Biomedical Texture Analysis by : Adrien Depeursinge

Download or read book Biomedical Texture Analysis written by Adrien Depeursinge and published by Academic Press. This book was released on 2017-08-25 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision Defines the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedical texture operators Showcases applications where biomedical texture analysis has succeeded and failed Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis

Handbook of Texture Analysis

Author : Ayman El-Baz
Publisher : CRC Press
ISBN 13 : 1040008917
Total Pages : 226 pages
Book Rating : 4.0/5 (4 download)

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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 and published by CRC Press. This book was released on 2024-06-24 with total page 226 pages. 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 book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. This volume: Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for image segmentation, and texture segmentation using Gabor filters Examines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classifications Describes shape from texture, including general principles, 3D shapes, and equations for recovering shape from texture Surveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fields 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.

Land Cover Classification of Remotely Sensed Images

Author : S. Jenicka
Publisher : Springer Nature
ISBN 13 : 303066595X
Total Pages : 176 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Land Cover Classification of Remotely Sensed Images by : S. Jenicka

Download or read book Land Cover Classification of Remotely Sensed Images written by S. Jenicka and published by Springer Nature. This book was released on 2021-03-10 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces two domains namely Remote Sensing and Digital Image Processing. It discusses remote sensing, texture, classifiers, and procedures for performing the texture-based segmentation and land cover classification. The first chapter discusses the important terminologies in remote sensing, basics of land cover classification, types of remotely sensed images and their characteristics. The second chapter introduces the texture and a detailed literature survey citing papers related to texture analysis and image processing. The third chapter describes basic texture models for gray level images and multivariate texture models for color or remotely sensed images with relevant Matlab source codes. The fourth chapter focuses on texture-based classification and texture-based segmentation. The Matlab source codes for performing supervised texture based segmentation using basic texture models and minimum distance classifier are listed. The fifth chapter describes supervised and unsupervised classifiers. The experimental results obtained using a basic texture model (Uniform Local Binary Pattern) with the classifiers described earlier are discussed through the relevant Matlab source codes. The sixth chapter describes land cover classification procedure using multivariate (statistical and spectral) texture models and minimum distance classifier with Matlab source codes. A few performance metrics are also explained. The seventh chapter explains how texture based segmentation and land cover classification are performed using the hidden Markov model with relevant Matlab source codes. The eighth chapter gives an overview of spatial data analysis and other existing land cover classification methods. The ninth chapter addresses the research issues and challenges associated with land cover classification using textural approaches. This book is useful for undergraduates in Computer Science and Civil Engineering and postgraduates who plan to do research or project work in digital image processing. The book can serve as a guide to those who narrow down their research to processing remotely sensed images. It addresses a wide range of texture models and classifiers. The book not only guides but aids the reader in implementing the concepts through the Matlab source codes listed. In short, the book will be a valuable resource for growing academicians to gain expertise in their area of specialization and students who aim at gaining in-depth knowledge through practical implementations. The exercises given under texture based segmentation (excluding land cover classification exercises) can serve as lab exercises for the undergraduate students who learn texture based image processing.

Supervised and Unsupervised Segmentation of Textured Images by Efficient Multi-level Pattern Classification

Author : Jaime Christian Meléndez Rodríguez
Publisher :
ISBN 13 : 9788469376713
Total Pages : 206 pages
Book Rating : 4.3/5 (767 download)

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Book Synopsis Supervised and Unsupervised Segmentation of Textured Images by Efficient Multi-level Pattern Classification by : Jaime Christian Meléndez Rodríguez

Download or read book Supervised and Unsupervised Segmentation of Textured Images by Efficient Multi-level Pattern Classification written by Jaime Christian Meléndez Rodríguez and published by . This book was released on 2010 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: