含疵样片提取过程中拓扑关系的构建及其应用

为实现服装生产中布料疵点的识别与含疵样片的匹配定位，解决含疵样片的快速检测、提取与更换问题，以色织牛仔布为研究对象，将常见疵点标识按特征归类，以确定空间对象的拓扑关系模型为基础，根据九交矩阵模型、四交矩阵模型推导出凸型、凹型样片与块状、线状疵点标识之间的矩阵关系与拓扑交集模型。将该拓扑模型应用于牛仔服装生产中的含疵样片提取过程，结合疵点标识图像信息、自动排料系统输出的样片数据，提出了一种含疵样片提取算法。最后，以幅宽1.52m 长度8m 的单层含疵牛仔布匹为实验对象，对提出的含疵样片提取方法进行实验验证，可以准确定位布匹上疵点标识的坐标信息，成功提取含疵样片信息以供给自动排料系统补充排料，准确率达到95%以上。

Construction and application of topological relations inextraction process of defective samples

In order to realize the identification of fabric defects and the matching location of the defective samples in garment production and to solve the problem of rapid detection, extraction and replacement of defective samples, taking the dyed denim as the research object, the common defect marks were classified according to the characteristics, and based on the topological relationship model of spatial objects, the matrix relationship and topological intersection model between convex and concave samples and block and linear defects were deduced based on 9-intersection matrix model and 4-intersection matrix model. This topology model was applied to the extraction process of defective sample in the production of cowboy clothing, and an algorithm for extracting defective samples was proposed by combining the image information of the defect identification and the sample data from the automatic discharge system. Finally, a single-layered denim cloth with a width of 1.52 m and a length of 8 m was used as the experimental object to verify the proposed method for extracting defective samples. The results show that the method can accuratelylocate the coordinate information of the defects on the cloth, and successfully extract the information of the samples containing the defects to supply the supplementary discharge of the automatic discharge system, and the accuracy rate is above 95%.