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Multiple Color Channel Local Extrema Patterns for Image Retrieval

  • L. Koteswara RaoEmail author
  • P. Rohini
  • L. Pratap Reddy
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 65)

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.

Keywords

Color Texture LBP, LQEP, and retrieval 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringKoneru Lakshmaiah Education Foundation (A Deemed to-be University), Off-campus CentreHyderabadIndia
  2. 2.Department of Computer Science and Engineering, Faculty of Science &TechnologyICFAI Foundation for Higher Education (A Deemed-to be University)HyderabadIndia
  3. 3.Department of Electronics and Communication EngineeringJawaharlal Nehru Technological University Hyderabad College of EngineeringHyderabadIndia

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