Analysis and Classification of Rotationally Invariant Textures: Novel Approaches for Rotationally Invariant Texture, Analysis and Classification - Softcover
Synopsis
Texture is one of the most important features used in the analysis and interpretation of images. One of the important and primary issues in texture analysis is classification of images based on texture content. A precise classification results in a good analysis. In this book, novel approaches for classification & analysis of rotationally invariant textures were presented. The proposed methods eliminate counting the unnecessary features that do not contribute to increase the quality of the available information hence reduce the dimensionality of a feature set for preserving the most relevant features and the computational cost. These methods help in extracting desired features for a rotationally invariant textures and precise classification. The study should help in further research in developing the algorithms in wavelet domain. One can extend pattern based schemes on the proposed algorithms for image retrieval, texture classification, analysis and synthesis. These empirical studies help researchers and professionals in the field of image processing and stimulate further research.
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About the Author
Dr Birudu Sujatha received her Ph.D degree in Computer Science and Engg from Univ. of Mysore, Karnataka, India in 2013. Presently she is working as Professor & HoD of CSE at GIET College of Engineering, Rajahmundry, Andhra Pradesh, India. She has published 26 research publications in National and International journals & conferences
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Analysis and Classification of Rotationally Invariant Textures
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LAP LAMBERT Academic Publishing Mai 2014, 2014
ISBN 10: 3659545147
ISBN 13: 9783659545146
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Texture is one of the most important features used in the analysis and interpretation of images. One of the important and primary issues in texture analysis is classification of images based on texture content. A precise classification results in a good analysis. In this book, novel approaches for classification & analysis of rotationally invariant textures were presented. The proposed methods eliminate counting the unnecessary features that do not contribute to increase the quality of the available information hence reduce the dimensionality of a feature set for preserving the most relevant features and the computational cost. These methods help in extracting desired features for a rotationally invariant textures and precise classification. The study should help in further research in developing the algorithms in wavelet domain. One can extend pattern based schemes on the proposed algorithms for image retrieval, texture classification, analysis and synthesis. These empirical studies help researchers and professionals in the field of image processing and stimulate further research. 144 pp. Englisch. Seller Inventory # 9783659545146
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Analysis and Classification of Rotationally Invariant Textures
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Analysis and Classification of Rotationally Invariant Textures
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sujatha B.Dr Birudu Sujatha received her Ph.D degree in Computer Science and Engg from Univ. of Mysore, Karnataka, India in 2013. Presently she is working as Professor & HoD of CSE at GIET College of Engineering, Rajahmundry, Andhra . Seller Inventory # 5163770
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Analysis and Classification of Rotationally Invariant Textures
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Analysis and Classification of Rotationally Invariant Textures
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Analysis and Classification of Rotationally Invariant Textures
Published by
LAP LAMBERT Academic Publishing Mai 2014, 2014
ISBN 10: 3659545147
ISBN 13: 9783659545146
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Texture is one of the most important features used in the analysis and interpretation of images. One of the important and primary issues in texture analysis is classification of images based on texture content. A precise classification results in a good analysis. In this book, novel approaches for classification & analysis of rotationally invariant textures were presented. The proposed methods eliminate counting the unnecessary features that do not contribute to increase the quality of the available information hence reduce the dimensionality of a feature set for preserving the most relevant features and the computational cost. These methods help in extracting desired features for a rotationally invariant textures and precise classification. The study should help in further research in developing the algorithms in wavelet domain. One can extend pattern based schemes on the proposed algorithms for image retrieval, texture classification, analysis and synthesis. These empirical studies help researchers and professionals in the field of image processing and stimulate further research.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Seller Inventory # 9783659545146
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Analysis and Classification of Rotationally Invariant Textures | Novel Approaches for Rotationally Invariant Texture, Analysis and Classification
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ISBN 13: 9783659545146
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Taschenbuch. Condition: Neu. Analysis and Classification of Rotationally Invariant Textures | Novel Approaches for Rotationally Invariant Texture, Analysis and Classification | B. Sujatha (u. a.) | Taschenbuch | 144 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659545146 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105250127
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Analysis and Classification of Rotationally Invariant Textures : Novel Approaches for Rotationally Invariant Texture, Analysis and Classification
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659545147
ISBN 13: 9783659545146
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Texture is one of the most important features used in the analysis and interpretation of images. One of the important and primary issues in texture analysis is classification of images based on texture content. A precise classification results in a good analysis. In this book, novel approaches for classification & analysis of rotationally invariant textures were presented. The proposed methods eliminate counting the unnecessary features that do not contribute to increase the quality of the available information hence reduce the dimensionality of a feature set for preserving the most relevant features and the computational cost. These methods help in extracting desired features for a rotationally invariant textures and precise classification. The study should help in further research in developing the algorithms in wavelet domain. One can extend pattern based schemes on the proposed algorithms for image retrieval, texture classification, analysis and synthesis. These empirical studies help researchers and professionals in the field of image processing and stimulate further research. Seller Inventory # 9783659545146
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Analysis and Classification of Rotationally Invariant Textures: Novel Approaches for Rotationally Invariant Texture, Analysis and Classification
Published by
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ISBN 13: 9783659545146
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