微型机与应用Issue(21)：47-50,54,5.
基于灰度共生矩阵特征图像的织物疵点检测方法
A fabric defect detection method based on gray level co-occurrence matrix feature image
摘要
Abstract
The fabric defect detection algorithm that feature images were generated by gray level co-occurrence matrix feature image was proposed. This paper quantized the gray-level of the fabric defect image to 16 , then extracted the gray level co-occurrence matrix in these 0° , 45° , 90° , 135° four direction. Through calculating five kinds of characteristic value including entropy, correlation, contrast, differences and inverse matrix of gray level co-occurrence matrix and generaing the corresponding feature image, to make five common types of fabric defects are segmentaed and detected. Experiment results prove that the detection algorithm based on gray level co-occurrence matrix is a good fabric defect detection method.关键词
灰度共生矩阵/特征图像/疵点检测Key words
gray level co-occurrence matrix/characteristic feature/fabric defect detection分类
计算机与自动化引用本文复制引用
吴哲,刘孝星,郑力新,周凯汀..基于灰度共生矩阵特征图像的织物疵点检测方法[J].微型机与应用,2015,(21):47-50,54,5.基金项目
福建省科技厅项目（2013H2002）；泉州市技术开发项目“基于机器视觉的智能纺织验布设备的研究与开发” （）
