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Image Retrieval System Based on Color and Texture Features

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Embedded Systems and Artificial Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1076))

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Abstract

The local binary pattern (LBP) operator and its variants extract the textural information of an image by considering the neighboring pixel values. A single or joined histogram can be derived from the LBP code which can be used as an image feature descriptor in some applications. However, the LBP-based feature is not a good candidate in capturing the color information of an image, making it less suitable for measuring the similarity of color images with rich color information. To overcome this problem, we propose a fast and efficient indexing and image search system based on color and texture features. The color features are represented by combining 2D histogram and statistical moments, and texture features are represented by the local binary pattern (LBP). To assess and validate our results, many experiments were held in color space HSV. Detailed experimental analysis is carried out using precision and recall on colored Brodatz, KTH TIPS, Stex, and USPTex image databases. Experimental results show that the presented retrieval method yields about 8% better performance in precision versus recall and about 0.2 in average normalized modified retrieval rank (ANMRR) than the method using wavelet moments.

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Authors and Affiliations

  1. Laboratory of Research in Optimization, Emerging Systems, Networks and Imaging, Faculty of Sciences of El Jadida, University Chouaïb Doukkali, El Jadida, Morocco

    El Mehdi El Aroussi & Silkan Hassan

Authors
  1. El Mehdi El Aroussi
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  2. Silkan Hassan
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Correspondence to El Mehdi El Aroussi .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Department of Computer Sciences, Faculty of Sciences Dhar Mahraz, Sidi Mohammed Ben Abbdallah University, Fez, Morocco

    Hassan Satori

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El Aroussi, E.M., Hassan, S. (2020). Image Retrieval System Based on Color and Texture Features. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_45

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