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Content-Based Image Retrieval Using Moments of Local Ternary Pattern

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Abstract

Due to the availability of large number of digital images, development of an efficient content-based indexing and retrieval method is required. Also, the emergence of smartphones and modern PDAs has further substantiated the need of such systems. This paper proposes a combination of Local Ternary Pattern (LTP) and moments for Content-Based Image Retrieval. Image is divided into blocks of equal size and LTP codes of each block are computed. Geometric moments of LTP codes of each block are computed followed by computation of distance between moments of LTP codes of query and database images. Then, the threshold using distance values is applied to retrieve images similar to the query image. Performance of the proposed method is compared with other state-of-the-art methods on the basis of results obtained on Corel-1,000 database. The comparison shows that the proposed method gives better results in terms of precision and recall as compared to other state-of-the-art image retrieval methods.

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Authors and Affiliations

  1. Department of Electronics and Communication, University of Allahabad, Allahabad, Uttar Pradesh, India

    Prashant Srivastava & Ashish Khare

  2. Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh, Vietnam

    Nguyen Thanh Binh

Authors
  1. Prashant Srivastava
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  2. Nguyen Thanh Binh
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  3. Ashish Khare
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Correspondence to Ashish Khare.

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Srivastava, P., Binh, N.T. & Khare, A. Content-Based Image Retrieval Using Moments of Local Ternary Pattern. Mobile Netw Appl 19, 618–625 (2014). https://doi.org/10.1007/s11036-014-0526-7

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  • DOI: https://doi.org/10.1007/s11036-014-0526-7

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