A Detection of Defect in Diamond Images Using 2-D Haar Wavelet Transform

Thumbnail Image
File(s)
Author(s)
Other Contributor(s)
University of the Thai Chamber of Commerce. School of Engineering
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
2010
ISSN
1906-1625
Resource Type
Text::Journal::Journal article
Language
English
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.
Subject(s)
Journal
UTCC Engineering Research Papers
Access Rights
Open access
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.
Rights Holder
University of the Thai Chamber of Commerce
Bibliographic Citation
Puttipong Markchai, Supaporn Kiattisin, Adisorn Leelasantitham (2010) A Detection of Defect in Diamond Images Using 2-D Haar Wavelet Transform. UTCC Engineering Research Papers.
URI