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Local color oppugnant quantized extrema patterns for image retrieval

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Abstract

A new image feature vector named, local color oppugnant quantized extrema pattern (LCOQEP) is proffered in this paper. In the proposed method, color-texture information between two oppugnant colors planes, RGB and HSV is extracted. The proposed approach is different from the local oppugnant color space extrema pattern that explores the directional extrema in RV, GV and BV spaces of an image. In LCOQEP approach, quantized extremas from the oppugnant planes are extracted. Performance evaluation parameters such as precision, recall, average retrieval precision and average retrieval rate are employed to ascertain the efficacy of the devised method. Standard datasets such as Corel (1k, 5k, 10k) and ImageNet-25k are used for experimentation. A substantial improvement in the retrieval performance is observed.

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Acknowledgements

The authors thank Dr. D. Venkata Rao of Narasaraopet Institute of Technology, for some of his suggestions during the initial stages of the work. Authors thank the anonymous reviewers for their valuable suggestions for the improvement of the quality of the paper.

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Authors and Affiliations

  1. Department of ECE, Koneru Lakshmaiah Education Foundation (Deemed to be University) Off-campus, Hyderabad, India

    L. Koteswara Rao

  2. Department of CSE, Faculty of Science and Technology, ICFAI Foundation for Higher Education (Deemed to be University), Hyderabad, India

    P. Rohini

  3. Department of ECE, JNTUH College of Engineering, Hyderabad, India

    L. Pratap Reddy

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  1. L. Koteswara Rao
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Koteswara Rao, L., Rohini, P. & Pratap Reddy, L. Local color oppugnant quantized extrema patterns for image retrieval. Multidim Syst Sign Process 30, 1413–1435 (2019). https://doi.org/10.1007/s11045-018-0609-x

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