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Comparison between GLCM and modified Zernike moments for material surfaces identification from photo images

Zainudin, Fathin Liyana and Mahamad, Abd Kadir and Saon, Sharifah and Yahya, Musli Nizam (2014) Comparison between GLCM and modified Zernike moments for material surfaces identification from photo images. In: International Conference on Computational Science and Technology – 2014 (ICCST’14), 27-28 Aug 2014, The Magellan Sutera, Kota Kinabalu, Malaysia.

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Abstract

Types of materials are one of an important data for research in acoustic engineering. This paper compares methods for extracting texture data of material surfaces for classification. Gray Level Co-occurrence Matrix (GLCM) and modified Zernike moments that is applied for image extraction are tested and compared with back propagation neural network used for classification. These methods are also applied to the Brodatz texture database as a general comparison. The GLCM method shows a good performance and regression, R>0.9 for the Brodatz database while the collected surfaces datasets using GLCM and modified Zernike moments as well as the Brodatz datasets using modified Zernike moments method had only managed an acceptable performance and regression of R>0.8.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Texture analysis; texture classification; GLCM; Zernike moments; back propagation neural network
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 13 Aug 2018 03:20
Last Modified: 13 Aug 2018 03:20
URI: http://eprints.uthm.edu.my/id/eprint/9406
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