Noisy Image Segmentation: General Approach and Application to Textile Inspection
نویسندگان
چکیده
A major problem in noisy image processing is the segmentation of its components. Many computer vision tasks analyze regions after segmenting a given image, then minimize the segmentation error to build a good automatic inspection system. In this paper, we propose a novel segmentation scheme for noisy images which consists of a new denoising method and a modified active contour model. The method can be used as a general technique for noisy image segmentation. Moreover, it is applied in the textile inspection field with a comparable level of competence to that of human inspection. Key–Words: Automated inspection, Fabric defects, Fabric inspection, Vision-based system
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