Title :
A detection of defect in diamond images using 2-D haar wavelet transform
Author :
Markchai, Puttipong ; Kiattisin, Supaporn ; Leelasantitham, Adisorn
Author_Institution :
Sch. of Eng., Univ. of the Thai Chamber of Commerce, Bangkok, Thailand
Abstract :
This paper presents a detection of defect 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.
Keywords :
Haar transforms; diamond; image texture; wavelet transforms; 2D Haar wavelet transform; defect detection; diamond images; diamond quality examination; flawless diamond; image texture; Diamond-like carbon; Discrete wavelet transforms; Fourier transforms; Testing; Wavelet analysis; 2-D wavelet transform; Diamond Images; Texture;
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1
