Abstract
A novel feature descriptor, multiple color channel local extremal pattern (MCLEP) is proposed in this manuscript. MCLEP combines the key features of local binary and local quantized extrema patterns in a specified neighborhood. Multi-distance information computed by the MCLEP aids in robust extraction of the texture arrangement. Further, MCLEP features are extracted for each color channel of an image. Retrieval performance of the MDLP is evaluated on benchmark datasets for CBIR, namely Corel-5000, Corel-10000, and MIT-Color Vistex, respectively. Proposed technique exhibits substantial improvement as compared to other recent feature descriptors in terms of ARP and ARR on standard databases.
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Koteswara Rao, L., Rohini, P., Pratap Reddy, L. (2019). Multiple Color Channel Local Extrema Patterns for Image Retrieval. In: Saini, H., Singh, R., Kumar, G., Rather, G., Santhi, K. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-13-3765-9_13
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DOI: https://doi.org/10.1007/978-981-13-3765-9_13
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