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