A detection of defect in diamond images using 2-D haar wavelet transform

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.