关键词: 脉冲耦合神经网络, 织物疵点, 膨胀, CANNY算子, 边缘检测

Abstract:  Textile texture has much anomaly,because of yarn helix structure,different size of yarn and supple transform for textile itself. The methods for detecting the textile defects with feature and model to segment were low efficiency and not good enough in precision. A method of feature extraction of the textile defects by using Pulsed Coupled Neural Network(PCNN) was put forward to overcome these problems. The model and properties of PCNN was analyzed. According to different gray intensity between the field of textile defects and the field of normal textile, feature of textile defects were extracted for PCNN firing or not. After dilated, the textile defects’ edge were extracted with CANNY operator. Experiment shows that the method can much better get the feature of the textile defects and has a much better edge detection result of the textile defects.

Key words: Pulsed Coupled Neural Network(PCNN), fabric defect, Dilation, CANNY operator, edge detection