Abstract
Industrial vision systems must operate in real-time, produce a low false alarm rate and be flexible so as to accommodate changes in the manufacturing process easily. This work presents a system for fabric manufacturing inspection. This environment, like paper and birch wood board industries, has particular characteristics in which morphological feature extraction for automated visual inspection cannot be used. The utilization of fractal dimension is investigated for discriminating defective areas. The efficiency of this approach is illustrated in textile images for defect recognition (with overall 96% accuracy). While this may sound complex, the method is in fact simple enough to be suitable for PC implementation, as demonstrated in the present work, and utilization across the Word Wide Web.
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