A detection of defect in diamond images using 2DHaar wavelet transform

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University of the Thai Chamber of Commerce. Research Support Office
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University of the Thai Chamber of Commerce
Date Issued
2011
Resource Type
Text::Conference output::Conference proceedings::Conference paper
Language
English
Abstract
This paper presents a detection of defect in diamond images using 2D 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 squarecut and flaw. With this approach, the examining process of diamond detection is reduced then it can be done faster. As a result of 2D wavelet transform, there are 30 diamond images for testing which all images can be verified for the flaw in diamond images.
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Conference
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public
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This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
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University of the Thai Chamber of Commerce
Bibliographic Citation
Puttipong Markchai, Supaporn Kiattisin, Adisorn Leelasantitham (2011) A detection of defect in diamond images using 2DHaar wavelet transform., 831-834.
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