Extraction of Texture Features by Euclidean, Canberra & Both Distance: For Content Based Image Retrieval - Softcover
Synopsis
Texture describes the content of many real world images: for example, clouds, trees, bricks, hair, fabric etc. all of which have textural characteristics.Feature extraction is one of the most important tasks for efficient and accurate image retrieval purpose. In this book we are going to use Cosine-modulated wavelet transform based technique for extraction of texture features. The major advantages of Cosine-modulated wavelet transform are less implementation complexity, good filter quality, and ease in imposing the regularity conditions. Texture features are obtained by computing the energy, standard deviation and their combination on each subband of the decomposed image. To check the retrieval performance, texture database of 1856 textures is created from Brodatz album. Retrieval efficiency and accuracy using Cosine-modulated wavelet based features will be found to be superior to other existing methods.
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About the Author
Master of Engineering in Information Technology.He is Working as an Assistant Professor in Engineering & Technology Institute at Maharashtra,INDIA.Area of research interest includes image processing,Software Engineering,Software Testing, Software Refactoring.He is life member of IACSIT and IAENG.He has published 21 papers in Journals & Conferences.
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Extraction of Texture Features by Euclidean, Canberra & Both Distance
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LAP LAMBERT Academic Publishing Sep 2012, 2012
ISBN 10: 3843357404
ISBN 13: 9783843357401
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Texture describes the content of many real world images: for example, clouds, trees, bricks, hair, fabric etc. all of which have textural characteristics.Feature extraction is one of the most important tasks for efficient and accurate image retrieval purpose. In this book we are going to use Cosine-modulated wavelet transform based technique for extraction of texture features. The major advantages of Cosine-modulated wavelet transform are less implementation complexity, good filter quality, and ease in imposing the regularity conditions. Texture features are obtained by computing the energy, standard deviation and their combination on each subband of the decomposed image. To check the retrieval performance, texture database of 1856 textures is created from Brodatz album. Retrieval efficiency and accuracy using Cosine-modulated wavelet based features will be found to be superior to other existing methods. 104 pp. Englisch. Seller Inventory # 9783843357401
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Extraction of Texture Features by Euclidean, Canberra & Both Distance
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LAP LAMBERT Academic Publishing, 2012
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ISBN 13: 9783843357401
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Regulwar Ganesh BhaiyyaMaster of Engineering in Information Technology.He is Working as an Assistant Professor in Engineering & Technology Institute at Maharashtra,INDIA.Area of research interest includes image processing,Software E. Seller Inventory # 5465730
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Extraction of Texture Features by Euclidean, Canberra & Both Distance
Published by
LAP LAMBERT Academic Publishing Sep 2012, 2012
ISBN 10: 3843357404
ISBN 13: 9783843357401
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Texture describes the content of many real world images: for example, clouds, trees, bricks, hair, fabric etc. all of which have textural characteristics.Feature extraction is one of the most important tasks for efficient and accurate image retrieval purpose. In this book we are going to use Cosine-modulated wavelet transform based technique for extraction of texture features. The major advantages of Cosine-modulated wavelet transform are less implementation complexity, good filter quality, and ease in imposing the regularity conditions. Texture features are obtained by computing the energy, standard deviation and their combination on each subband of the decomposed image. To check the retrieval performance, texture database of 1856 textures is created from Brodatz album. Retrieval efficiency and accuracy using Cosine-modulated wavelet based features will be found to be superior to other existing methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Seller Inventory # 9783843357401
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Extraction of Texture Features by Euclidean, Canberra & Both Distance : For Content Based Image Retrieval
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3843357404
ISBN 13: 9783843357401
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Texture describes the content of many real world images: for example, clouds, trees, bricks, hair, fabric etc. all of which have textural characteristics.Feature extraction is one of the most important tasks for efficient and accurate image retrieval purpose. In this book we are going to use Cosine-modulated wavelet transform based technique for extraction of texture features. The major advantages of Cosine-modulated wavelet transform are less implementation complexity, good filter quality, and ease in imposing the regularity conditions. Texture features are obtained by computing the energy, standard deviation and their combination on each subband of the decomposed image. To check the retrieval performance, texture database of 1856 textures is created from Brodatz album. Retrieval efficiency and accuracy using Cosine-modulated wavelet based features will be found to be superior to other existing methods. Seller Inventory # 9783843357401
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Extraction of Texture Features by Euclidean, Canberra & Both Distance | For Content Based Image Retrieval
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Taschenbuch. Condition: Neu. Extraction of Texture Features by Euclidean, Canberra & Both Distance | For Content Based Image Retrieval | Ganesh Bhaiyya Regulwar (u. a.) | Taschenbuch | 104 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783843357401 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106296582
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Extraction of Texture Features by Euclidean, Canberra & Both Distance: For Content Based Image Retrieval
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