Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/534
Title: A Detection of Defect in Diamond Images Using 2-D Haar Wavelet Transform
Authors: Markchai, Puttipong 
Kiattisin, Supaporn 
Leelasantitham, Adisorn 
Issue Date: 2010
Publisher: University of the Thai Chamber of Commerce
University of the Thai Chamber of Commerce
Source: Puttipong Markchai, Supaporn Kiattisin, Adisorn Leelasantitham (2010) A Detection of Defect in Diamond Images Using 2-D Haar Wavelet Transform. UTCC Engineering Research Papers.
Journal: UTCC Engineering Research Papers
Abstract: This paper presents a detection of detect in diamond images using 2-D wavelet transform for helping to solve problems in diamond quality examination by photographs .The wavelet is able to examine images in a form of texture, graph and histogram which this method is cable to take these values to analyze the differences between defective and flawless diamond because the image of each diamond have different textures. There are more or less the texture depending on many factors such as square cut and flaw. With this approach, the examining process of diamond detection is reduced then it can be done faster. As a result of 2-D wavelet transform, there are 30 diamond images for testing which all images can be verified for the flaw in diamond images.
URI: https://scholar.utcc.ac.th/handle/6626976254/534
ISSN: 1906-1625
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:EN: Journal Articles

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