CAJ | 학술논문

为了克服传统人工目测劳动强度大、误检率高、漏检率高以及现有疵点检测方法检测精度低的问题，提出一种基于正交小波分解的织物疵点检测方法，以提取的特征值相对误差大小代替归一化相对特征值作为判断疵点是否存在的标准。实验结果表明，此种方法比传统方法检测精度高。
위료극복전통인공목측노동강도대、오검솔고、루검솔고이급현유자점검측방법검측정도저적문제，제출일충기우정교소파분해적직물자점검측방법，이제취적특정치상대오차대소대체귀일화상대특정치작위판단자점시부존재적표준。실험결과표명，차충방법비전통방법검측정도고。
In order to overcome such problems as heavy labor intensity,high false detecting rate, high misdetection rate of and low detection precision,caused by the traditional manual visual test,a method of the fabric defect detection,based on orthonormal wavelet decomposition,using the relative error of the extracted characteristic value as the standard for judging the defect instead of the relative character-istic value normalization,is described in this paper.The experimental results proves that the method has a higher detection precision than the traditional one.