服装布料自动铺展过程中的疵点检测与定位

摘要

In the process of clothing fabric automatic spreading,realizing online detection and location of fabric defects is an important link to ensure the follow-up sample cutting quality and garment processing quality. Based on the process and requirements of automatic spreading,through a series of comparative experiments,sum up the characteristics of various defect detection and location in the process of automatic spreading,and find that the method combined the median filtering,global adaptive threshold segmentation and morphological filtering processing can fast,accurately detect and position the fabric defects. The experimental results show that,using this algorithm can accurately locate in fabric defects automatic spreading detection process,taking less time,saving labor,reducing the detection cost,and provide the accurate defect positioning information for subsequent work.%在服装布料自动铺展过程中，对布匹疵点的在线检测定位是保证后续样片裁剪质量和服装加工质量的重要环节。依据自动铺布的过程和检测要求，通过一系列对比实验，总结出自动铺布过程中各种疵点检测定位处理方式的特点，得出以中值滤波、全局自适应阈值分割和形态学滤波处理相结合的方式能快速、准确检测和定位布匹疵点。实验结果表明，在自动铺布检测过程中使用该算法能够对布匹疵点进行准确定位，花费时间较短，节约劳动力，降低疵点检测成本，并能为后续的裁剪工序提供疵点定位的准确信息。