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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM: Basics, Concept and Novel Algorithm - Softcover
Synopsis
A new image retrieval technique based on Content Based Image Retrieval has been introduced. This technique is useful for different kind of datasets. CSLBP (center-symmetric local binary patterns) has been extracted from the original image to obtain the local information. LPQ (local phase quantisation) is also insensitive against another image degradation, blur effect. This is common illumination and blurs insensitive feature extraction. Co-occurrence of pixel pairs in local pattern map has been observed in different directions and distances using gray level co-occurance matrix. For similarity measure, four different similarity measure techniques i.e. Chi-square, Manhattan, Canbarra and Euclidian distances are used in which Canbara gives better results than the rest. Out of four, Euclidian distance shows poor performances in comparable to other similarity measures. Experimental results show that Canbarra based bio-medical retrieval system gives about 99-100 % accuracy rates.
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM: Basics, Concept and Novel Algorithm
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM: Basics, Concept and Novel Algorithm
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
New
Softcover
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM
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LAP LAMBERT Academic Publishing Jan 2019, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A new image retrieval technique based on Content Based Image Retrieval has been introduced. This technique is useful for different kind of datasets. CSLBP (center-symmetric local binary patterns) has been extracted from the original image to obtain the local information. LPQ (local phase quantisation) is also insensitive against another image degradation, blur effect. This is common illumination and blurs insensitive feature extraction. Co-occurrence of pixel pairs in local pattern map has been observed in different directions and distances using gray level co-occurance matrix. For similarity measure, four different similarity measure techniques i.e. Chi-square, Manhattan, Canbarra and Euclidian distances are used in which Canbara gives better results than the rest. Out of four, Euclidian distance shows poor performances in comparable to other similarity measures. Experimental results show that Canbarra based bio-medical retrieval system gives about 99-100 % accuracy rates. 60 pp. Englisch. Seller Inventory # 9786139446162
Quantity: 2 available
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM: Basics, Concept and Novel Algorithm
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18397277303
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM : Basics, Concept and Novel Algorithm
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A new image retrieval technique based on Content Based Image Retrieval has been introduced. This technique is useful for different kind of datasets. CSLBP (center-symmetric local binary patterns) has been extracted from the original image to obtain the local information. LPQ (local phase quantisation) is also insensitive against another image degradation, blur effect. This is common illumination and blurs insensitive feature extraction. Co-occurrence of pixel pairs in local pattern map has been observed in different directions and distances using gray level co-occurance matrix. For similarity measure, four different similarity measure techniques i.e. Chi-square, Manhattan, Canbarra and Euclidian distances are used in which Canbara gives better results than the rest. Out of four, Euclidian distance shows poor performances in comparable to other similarity measures. Experimental results show that Canbarra based bio-medical retrieval system gives about 99-100 % accuracy rates. Seller Inventory # 9786139446162
Quantity: 1 available
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM: Basics, Concept and Novel Algorithm
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock. Seller Inventory # zk6139446163
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Garg MeenakshiMeenakshi Garg(PGDCA, MCA, M.Tech, UGC NET)Meenakshi Garg has received MCA degree in Computer Applications from MDU University, Rohtak and M.tech from KSOU University. She is currently working as an Assistant Professor. Seller Inventory # 385858371
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM
Published by
LAP LAMBERT Academic Publishing Jan 2019, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -A new image retrieval technique based on Content Based Image Retrieval has been introduced. This technique is useful for different kind of datasets. CSLBP (center-symmetric local binary patterns) has been extracted from the original image to obtain the local information. LPQ (local phase quantisation) is also insensitive against another image degradation, blur effect. This is common illumination and blurs insensitive feature extraction. Co-occurrence of pixel pairs in local pattern map has been observed in different directions and distances using gray level co-occurance matrix. For similarity measure, four different similarity measure techniques i.e. Chi-square, Manhattan, Canbarra and Euclidian distances are used in which Canbara gives better results than the rest. Out of four, Euclidian distance shows poor performances in comparable to other similarity measures. Experimental results show that Canbarra based bio-medical retrieval system gives about 99-100 % accuracy rates.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. Seller Inventory # 9786139446162
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Content Based Image Retrieval Using CS-LBP, LPQ and GLCM: Basics, Concept and Novel Algorithm
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139446163
ISBN 13: 9786139446162
New
paperback
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
paperback. Condition: New. New. book. Seller Inventory # ERICA82961394461636
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