Detection of the Fabric Printing Quality Based on the Machine Vision

This paper introduces a detecting approach about the textile printing precision based on machine vision. First: by the model of rotary screen printing machine, we analysis the cause of the phenomenon of misregisteration, and summary the discipline of textile printing image combined by the technical feature; Second: we use the JSEG algorithm to segment the image, find out the edge of the image, later we make a match for the segmented edge information, to obtain deviation area of the image, and calculate the deviation position. Finally: Experiments show that the system has very good results.