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An Adaptive Approach for Content Based Image Retrieval Using Gaussian Firefly Algorithm

  • T. Kanimozhi
  • K. Latha
Part of the Communications in Computer and Information Science book series (CCIS, volume 375)

Abstract

An adaptive content based image retrieval (CBIR) approach based on relevance feedback and Gaussian Firefly algorithm is proposed in this paper. Feature extraction has been done with the Euclidean distance estimation between the pixels; relevance feedback (RF) based approach but all concerns with the extraction of image accuracy. This research work has a focused approach to increase the performance by optimizing image feature by adopting with the firefly algorithm (FA). Further, to improve the retrieval accuracy, random walk concepts based on Gaussian distribution is used to move all the fireflies to global best at the end of each iteration. Experiments demonstrate that the proposed method shows more accuracy and better performance compared to particle swarm optimization and genetic algorithm and the use of Gaussian distribution further improve the retrieval accuracy.

Keywords

Content-based image retrieval Relevance Feedback Firefly Algorithm color descriptor texture descriptor Gaussian distribution 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • T. Kanimozhi
    • 1
  • K. Latha
    • 1
  1. 1.Dept. of Computer Science & Engg, BIT CampusAnna UniversityTiruchirappalliIndia

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