关键词: 疵点检测, 织物疵点, 高斯混合模型

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 background texture effects, then the Gaussian mixture model is applied to process the new image. Gaussian mixture model calculations 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.

Key words: defect detection, fabric defects, Gaussian mixture model