关键词: 织物主结构提取, 惩罚算子, 加权最小二乘法, 稀疏矩阵, 分层预处理

Abstract:

In order to remove the texture information from the textile pattern while preserving the main structure information, a penalty operator was proposed to smooth the main structure and texture of the textile pattern differently in the process of weighting the least square method. The main structure sample database and the texture sample library of the textile pattern were established to verify the validity of the penalty operator. In order to solve the problem of large time cost of large sparse matrices in the solving the process of the least squares method, a hierarchical preprocessing model was adopted to reduce the time consumption of sparse matrix solution to speed up the extraction of the main structure. Using the textile pattern sample library, it is verified that the hierarchical preprocessing can reduce the time of main structure extraction by about 50%.

Key words: textile main structure extraction, penalty operator, weighted least squares method, sparse matrix, hierarchical preprocessing