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11-04-2019

Interactive Biogeography Particle Swarm Optimization for Content Based Image Retrieval

Authors: Deepika Dubey, Geetam Singh Tomar

Published in: Wireless Personal Communications | Issue 2/2019

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Abstract

In this paper, we propose biogeography particle swarm optimization (BPSO) approach for content based image retrieval using low-level features like color and texture. This approach is based on the content used in the image and its classification. The above-mentioned BPSO is inspired by migrated species biogeographically. The proposed approach is based on algorithms like color, histogram and texture which are applicable on color images. The use of these algorithms ensures that the suggested image retrieval approach fabricates such results which are highly applicable to the content of an image query. Features such as distance measure, color and histogram are used to find out color features of an image and filters are used to extract the texture feature. Well know precision and recall measures are used and the output results are compared with other recently used related approaches. Our proposed approach is having better performance as compared to past approaches as it uses features based on color and texture.

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Title: Interactive Biogeography Particle Swarm Optimization for Content Based Image Retrieval
Authors: Deepika Dubey
Geetam Singh Tomar
Publication date: 11-04-2019
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 2/2019
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-019-06308-y

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