Title: Integration of a three-colour channel with the four diagonals of the GLCM approach for similar image retrieval

Authors: P. John Bosco

Addresses: Department of Computer Science and Engineering, School of Engineering and Technology, Pondicherry University, Puducherry – 605 014, India

Abstract: Feature extractions are perceptive problems due to differences of opinion in image assets and contents. An image has strong texture and colour channels, i.e., a gray-level cooccurrence matrix (GLCM) and a Red, Green and Blue (RGB) channel. We proposed an algorithm for the integration of three colours with diagonal approach method (ITDM) in combined colour and GLCM significant image features, which are used for image retrieval and reduced time. It has four steps: 1) Extract the colour channel, which is RGB, YCbCr, and L* a* b*; 2) Extract the colour channel of G, Y, and L*; 3) Apply the GLCM method in the G, Y, and L* channels and 4) Image features are based on the classification of features by the C-means algorithm and re-ranking methods. To develop an image, simplify the computation of image retrieval methods. A series of analyses and comparisons are performed in the experiment and proven to enhance the retrieval rate.

Keywords: content based image retrieval (CBIR); colour feature: texture feature; integration of three colours with diagonal approach method (ITDM); GLCM; RGB.

DOI: 10.1504/IJIEI.2022.128874

International Journal of Intelligent Engineering Informatics, 2022 Vol.10 No.4, pp.271 - 289

Received: 03 Nov 2020
Received in revised form: 27 Jul 2021
Accepted: 11 Mar 2022
Published online: 08 Feb 2023 *

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