基于统计信息的织物瑕疵自适应检测

在使用模板匹配方法检测织物瑕疵的过程中,通过实时采集、分析织物的灰度图像,获得织物纹理的统计信息,并从中提取出正常纹理的特征.在此基础上,生成自适应更新的匹配模板和自适应变化的瑕疵判决阈值,使模板和判决阈值不需要人为干预,能够随织物的实际纹理自适应的变化,提高了算法的灵活性和通用性.实验结果验证了该方法的有效性.

Adaptive Detection of Fabric Flaw Based on Statistical Information

In the detection of fabric flaw based on template matching, statistical information of natural and normal texture of the fabric can be extracted via collecting and analyzing the gray image. On the basis of the statistical information acquired, both template and judging threshold are produced and updated adaptively in real-time according to the real textures of fabric, which has better flexibility and universality. The experimental results demonstrate the validity of the proposed method.