Investigations on computer vision system for identification of defects In uniform textures

Abstract

Image processing is one of the most developing areas in computer newlinescience Defect detection from images plays a significant role in quality of newlinemanufactured products and its application areas continue to increase newlineNumerous methods have been proposed for performing this task Sub band newlinedomain co occurrence matrices can be used for texture defect detection A newlinestructural approach can also be used for defect detection in textured images newlineSignal processing methods are the tools to detect point defects and line newlinedefects in texture images Texture is the term used to characterize the surface newlineof a given phenomenon in an image and it is undoubtedly one of the principal newlinefeatures used in image processing and pattern recognition Texture newlineclassification plays an important role in the interpretation and analysis of newlineterrain images as well as radiographic and microscopic cell images newlineTexture analysis is one of the fundamental aspects of human vision newlineby which we discriminate between surfaces and objects In a similar manner newlinecomputer vision can take advantage of the cues provided by surface texture to newlinedistinguish and recognize objects newline newline