Mohamad Rasli, Ruziana and Tuan Muda, Tuan Zalizam and Yusof, Yuhanis and Abu Bakar, Juhaida (2012) Comparative analysis of content based image retrieval techniques using color histogram: A case study of GLCM and K-Means clustering. In: Third International Conference on Intelligent Systems Modelling and Simulation, 8-10 Feb. 2012, Kota Kinabalu, Malaysia.

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Abstract

Content based image retrieval is an active research issue that had been famous from 1990s till present.The main target of CBIR is to get accurate results with lower computational time. This paper discusses on the comparative method used in color histogram based on two major methods used frequently in CBIR which are; normal color histogram using GLCM, and color histogram using KMeans. A set of 9960 images are used to test the accuracy and the precision of each methods. Using Euclidean distance, similarity between queried image and the candidate images are calculated. Experiment results shows that color histogram with K-Means method had high accuracy and precise compared to GLCM. Future work will be made to add more features that are famous in CBIR which are texture, color, and shape features in order to get better results.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Print ISBN: 978-1-4673-0886-1 CD-ROM ISBN: 978-0-7695-4668-1
Uncontrolled Keywords:	Image color analysis, Histograms, Image retrieval, Shape, Testing, Indexes, Color
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	School of Multimedia Technology & Communication
Depositing User:	Mr. Tuan Zalizam Tuan Muda
Date Deposited:	16 Nov 2016 00:44
Last Modified:	16 Nov 2016 00:44
URI:	https://repo.uum.edu.my/id/eprint/19662

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