CAJ | 학술논문

针对织物疵点图像特征，提出了利用压缩感知提取织物疵点特征数据的方法。为了提取到疵点特征，需利用感知波形对图像的数据矩阵进行感知得到特征数据，同时对分类器进行并联设计，继而通过仿真和实验，检测出疵点类型信息。实验表明，该方法能有效地分类出织物疵点的数据信息。
침대직물자점도상특정，제출료이용압축감지제취직물자점특정수거적방법。위료제취도자점특정，수이용감지파형대도상적수거구진진행감지득도특정수거，동시대분류기진행병련설계，계이통과방진화실험，검측출자점류형신식。실험표명，해방법능유효지분류출직물자점적수거신식。
Based on charactersitics of fabric defects image , this paper proposes the use of compressed sensing to extract charactersitic data of fabric defects .In order to implement this extraction , sensing waveform is needed for handling data matrix to obtain characteristic data , while the classifiers must be in parallel design , followed by simu-lation and experiment , to obtain defect type information .Experiments show that this method can effectively classify the fabric defect data .