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An integrated approach for image retrieval using local binary pattern

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Abstract

In this paper an integrated approach for image retrieval has been proposed that uses the concept of local binary pattern. The image is divided into a fixed number of blocks and from each block, LBP based color, texture and shape features are computed. LBP histogram is used for the extraction of color and texture features. Region code based scheme is used to support region based retrieval. Center pixel and its neighbors are used to improve the discrimination power of Local Binary Patterns. Shape feature computed using the binary edge map obtained using Sobel edge detector is combined with color and texture features to make a single completed binary region descriptor. To support region based retrieval, a more effective region code based scheme is employed. The approach is tested on different benchmark databases like COREL, CIFAR-10 and MPEG-7 CCD database. The experimental results have verified that the proposed scheme has impressive retrieval performance in comparison to state-of-the-art techniques.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Raghogarh, Guna, MP, 473226, India

    Nishant Shrivastava & Vipin Tyagi

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  1. Nishant Shrivastava
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  2. Vipin Tyagi
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Correspondence to Vipin Tyagi.

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Shrivastava, N., Tyagi, V. An integrated approach for image retrieval using local binary pattern. Multimed Tools Appl 75, 6569–6583 (2016). https://doi.org/10.1007/s11042-015-2589-2

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  • DOI: https://doi.org/10.1007/s11042-015-2589-2

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