Abstract
A new image processing approach is proposed for identifying weave patterns of woven fabrics and automatically displaying harness drafts and chain drafts. Fabric counts are also measured. Based on the maximum and minimum gray-level sums of the horizontal and vertical pixel lines over an entire image, yarns and their crossover points are located. The decision rules for recognizing warp and weft floats are developed on the basis of geometric features of yarn distribution. The experimental materials include plain, twill, and satin weaves, each with twenty samples. Experimental results demonstrate that three basic weave patterns can be identified. The computer measurements of fabric counts show good agreement with manual measurements.
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