| Summary: | 碩士 === 元智大學 === 工業工程與管理學系 === 91 === The purpose of this study is to discuss the use of machine vision in automatic defects inspection in inhomogeneous textures. These inhomogeneous textures include materials such as sputtered glass substrates of touch panels. These textures have similarities in some regions while not in the whole image. Therefore, good processing effect cannot be achieved on these textures by using traditional processing methods.
The proposed method is based on the nonlinear diffusion, in which the edge preserving smoothing filter is dependent on image gradient. This method can smooth the edges in textured regions and, in the meantime, preserve the borders between regions. After the nonlinear diffusion process being done, the inhomogeneous region in the original image will have an approximate uniform gray level, and yet the shape of defective region will be distinctly preserved.
The factors that we found affecting diffusion process result include diffusivity function, diffusivity parameter and iteration times. In this paper, we have analyzed the effects of these factors in order to obtain the best effectiveness. Experiments are performed on sputtered glass substrates of touch panels which lead to our conclusion. The experimental results have shown that our proposed method will have promising results for detecting defects in inhomogeneous textures.
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