Two-dimensional Entropy Segmentation of Fabric Printing Pattern based on TENT Mapping Pso

摘要

TENT mapping PSO has been proposed with analysis of PSO's fundamental principles and performance, in combination with TENT mapping chaos optimization method's high optimization efficiency. The algorithm is applied in the two-dimensional entropy image segmentation, enhancing the search speed of the best threshold in the two-dimensional histogram space. Two-dimensional entropy segmentation based on TENT mapping PSO is applied in Segmentation of fabric printing pattern, and the speed of which is fast, and Accuracy of which is high. Two fabric printing pattern are segmented with this algorithm, the experimental result indicated that the algorithm is effective. The continuous edge and clear contour are kept in the pattern image segmented by this method