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Hybrid Algorithm Using Fuzzy C-Means and Local Binary Patterns for Image Indexing and Retrieval

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Book cover Soft Computing Techniques in Vision Science

Part of the book series: Studies in Computational Intelligence ((SCI,volume 395))

Abstract

A new algorithm meant for content based image retrieval (CBIR) is presented in this paper. First the image is segmented into regions using fuzzy c-means algorithm (FCM), and then the local region of image is represented by local binary patterns (LBP), which are evaluated by taking into consideration of local difference between the center pixel and its neighbors. LBP extracts the information based on distribution of edges in an image. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Corel 1000 database (DB1), and Corel 2450 database (DB2). The results after being investigated shows a significant improvement in terms of their evaluation measures as compared to LBP and other existing transform domain techniques.

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Author information

Authors and Affiliations

  1. Dept. Mathematics, Deen Bandhu Chotu Ram University of Science & Tech., Murthal, Harayana, India

    Dilkeshwar Pandey & Rajive Kumar

Authors
  1. Dilkeshwar Pandey
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  2. Rajive Kumar
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Correspondence to Dilkeshwar Pandey .

Editor information

Editors and Affiliations

  1. , Computer Science and Engineering, SOA University, Bhubaneswar, 752 024, India

    Srikanta Patnaik

  2. , School of Electronic Engineering, Kumoh National Institute of Technology, Yahoho-dong, Gyeongbuk 1, Gumi, 730-701, Korea, Republic of (South Korea)

    Yeon-Mo Yang

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Pandey, D., Kumar, R. (2012). Hybrid Algorithm Using Fuzzy C-Means and Local Binary Patterns for Image Indexing and Retrieval. In: Patnaik, S., Yang, YM. (eds) Soft Computing Techniques in Vision Science. Studies in Computational Intelligence, vol 395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25507-6_10

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  • DOI: https://doi.org/10.1007/978-3-642-25507-6_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25506-9

  • Online ISBN: 978-3-642-25507-6

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