DocumentCode :
3545589
Title :
An effective content Based Image Retrieval (CBIR) system based on evolutionary programming (EP)
Author :
Jadhav, Sunita Manoj ; Patil, Vikram
Author_Institution :
Dept. of EXTC, Saraswati Coll. of Eng., Navi Mumbai, India
fYear :
2012
fDate :
23-25 Aug. 2012
Firstpage :
310
Lastpage :
315
Abstract :
This paper introduces a content Based Image Retrieval (CBIR) based on evolutionary algorithm. Initially, the shape, color and texture feature is extracted for the given query image and also for the of the database images in a similar manner. Subsequently, similar images are retrieved utilizing an evolutionary algorithm based similarity. Thus, by means of the evolutionary algorithm, the required relevant images are retrieved from a large database based on the given query. The proposed CBIR system is evaluated by querying different images and the efficiency of the proposed system is evaluated by means of the precision-recall value of the retrieved results.
Keywords :
content-based retrieval; evolutionary computation; image colour analysis; image retrieval; image texture; shape recognition; visual databases; CBIR; EP; color feature; database images; effective content based image retrieval; evolutionary algorithm; evolutionary programming; query image; shape feature; texture feature; Biological cells; Biomedical imaging; Image color analysis; Image segmentation; Lead; Ontologies; Evolutionary Programming (EP); color histogram; feature extraction; query; shape; texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4673-2045-0
Type :
conf
DOI :
10.1109/ICACCCT.2012.6320793
Filename :
6320793
Link To Document :
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