计算机工程与应用Issue(10)：184-187,4.DOI:10.3778/j.issn.1002-8331.1310-0160
基于EM算法的高斯混合型的织物疵点检测研究
Fabric defect detection based on Gaussian mixture models of EM algorithm
摘要
Abstract
To detect the accurate fabric defects which were generated during the production process, an approach based on Gaussian mixture model of the EM algorithm is presented to achieve automatic detection. Because fabric background texture has greater impact on the fabric defect detection, preprocessing is done by using mean sample to remove its back-ground texture effects, then the Gaussian mixture model is applied to process the new image. Gaussian mixture model cal-culations are divided into E, M steps. E step is used to initialize the parameters and to calculate the posterior probability of the sample pixel, M steps is used to update the Gaussian mixture model parameters. The defects and background area of the pixel are determined based on their calculated posterior probability. The experimental results show that the proposed algorithm can detect and segment the kinds of fabric defects, and has a good validity and reliability.关键词
疵点检测/织物疵点/高斯混合模型Key words
defect detection/fabric defects/Gaussian mixture model分类
信息技术与安全科学引用本文复制引用
李仁忠,张缓缓,景军锋,李鹏飞..基于EM算法的高斯混合型的织物疵点检测研究[J].计算机工程与应用,2014,(10):184-187,4.基金项目
中国纺织工业联合会科技指导性项目（No.2013066）；陕西省教育厅自然科学专项（No.2013JK0655）；西安工程大学博士启动基金。 （）
