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The Korea Institute of Information and Commucation Engineering 2010; 8(2): 185-190

Published online April 30, 2010

https://doi.org/10.6109/jicce.2010.8.2.185

© Korea Institute of Information and Communication Engineering

Content Based Image Retrieval Based on A Novel Image Block Technique Combining Color and Edge Features

Kwon, Goo-Rak;Haoming, Zou;Park, Sei-Seung;

Department of Information and Communication Engineering, Chosun University, Chosun University, Department of electronics engineering, Chosun University

Received: October 28, 2009; Accepted: December 1, 2009

Abstract

In this paper we propose the CBIR algorithm which is based on a novel image block method that combined both color and edge feature. The main drawback of global histogram representation is dependent of the color without spatial or shape information, a new image block method that divided the image to 8 related blocks which contained more information of the image is utilized to extract image feature. Based on these 8 blocks, histogram equalization and edge detection techniques are also used for image retrieval. The experimental results show that the proposed image block method has better ability of characterizing the image contents than traditional block method and can perform the retrieval system efficiently.

Keywords CBIR,color feature,edge feature,image block matching

Article

The Korea Institute of Information and Commucation Engineering 2010; 8(2): 185-190

Published online April 30, 2010 https://doi.org/10.6109/jicce.2010.8.2.185

Copyright © Korea Institute of Information and Communication Engineering.

Content Based Image Retrieval Based on A Novel Image Block Technique Combining Color and Edge Features

Kwon, Goo-Rak;Haoming, Zou;Park, Sei-Seung;

Department of Information and Communication Engineering, Chosun University, Chosun University, Department of electronics engineering, Chosun University

Received: October 28, 2009; Accepted: December 1, 2009

Abstract

In this paper we propose the CBIR algorithm which is based on a novel image block method that combined both color and edge feature. The main drawback of global histogram representation is dependent of the color without spatial or shape information, a new image block method that divided the image to 8 related blocks which contained more information of the image is utilized to extract image feature. Based on these 8 blocks, histogram equalization and edge detection techniques are also used for image retrieval. The experimental results show that the proposed image block method has better ability of characterizing the image contents than traditional block method and can perform the retrieval system efficiently.

Keywords: CBIR,color feature,edge feature,image block matching

JICCE
Sep 30, 2024 Vol.22 No.3, pp. 173~266

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Journal of Information and Communication Convergence Engineering Jouranl of information and
communication convergence engineering
(J. Inf. Commun. Converg. Eng.)

eISSN 2234-8883
pISSN 2234-8255