Woven fabric analysis by image processing - Part I: Identification of weave patterns

A new image processing approach is proposed for identifying weave patterns of woven fabrics and automatically displaying harness drafts and chain draf ts. 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 recog nizing warp and weft floats are developed on the basis of geometric feature s of yarn distribution. The experimental materials include plain, twill, an d satin weaves, each with twenty samples. Experimental results demonstrate that three basic weave patterns can be identified. The computer measurement s of fabric counts show good agreement with manual measurements.