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Image Retrieval Using Genetic Algorithm Based on Multi-Feature Similarity Score Fusion

Author(s):

Deepika P Shrivastava , LJENG college; Krunal Panchal, LJENG College

Keywords:

image retrieval; fusion; genetic algorithm

Abstract

This paper proposes an image retrieval method based on multi-feature similarity score fusion using genetic Algorithm. Single feature describes image content only from one point of view and Fusing Multifeature similarity score is expected to improve the system's retrieval performance. In this paper, the retrieval results from color feature and texture feature are analyzed, and the method of fusing multi-feature similarity score is described. The main purpose of fusion weights of multi-feature similarity scores reasonably, then we will apply genetic algorithm. We will use other three methods are color feature, texture feature and fusion of color-texture feature similarity score with equal weights base on image retrieval. The implementation results show that the proposed method is superior to other methods.

Other Details

Paper ID: IJSRDV2I9441
Published in: Volume : 2, Issue : 9
Publication Date: 01/12/2014
Page(s): 863-865

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