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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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786139446162
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Etat : 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. N° de réf. du vendeur 385858371
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9786139446162
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9786139446162
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