Content Based Image Retrieval Using CS-LBP, LPQ and GLCM: Basics, Concept and Novel Algorithm - Brossura

Garg, Meenakshi

Brossura

ISBN 10: 6139446163 ISBN 13: 9786139446162

Casa editrice: LAP LAMBERT Academic Publishing, 2019

Riassunto

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.

Dettagli dell?edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 6139446163
• ISBN 13: 9786139446162
• Rilegatura: Copertina flessibile
• Numero di pagine: 60
• Contatto del produttore: non disponibile
• Persona responsabile: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania