织物纹理基元自适应Gabor滤波器的疵点检测方法

Defect Detection Method Based on Fabric Texture Primitive Adaptive Gabor Filter

纺织面料疵点智能检测一直是纺织行业需解决的技术难题之一,为了对面料疵点进行高效精准的自动检测,提出了基于织物纹理基元自适应Gabor滤波器的疵点检测方法即通过获取织物纹理基元,构建最优的Gabor滤波器,解决Gabor滤波器参数设计复杂的问题。试验结果表明使用自适应的Gabor滤波器对图像进行滤波,能够很好地将疵点从织物背景中分割出来,突出疵点区域,对实现织物疵点的智能检测有一定的意义。

Intelligent detection of textile fabric defects has always been one of the technical problems to be solved in the textile industry.In order to carry out efficient and accurate automatic detection of fabric defects,a detection method based on fabric texture primitive adaptive Gabor filter was proposed.he optimal Gabor filter was constructed by obtaining fabric texture primitive.The complex problem of Gabor filter parameter design was solved.The experimental results showed that using the adaptive Gabor filter to filter the image can well separate the defect from the fabric background and highlight the defect area,which was of certain significance to realize the intelligent detection of the fabric defect.