基于机器视觉的轻薄弹性裤袜破洞类疵点检测  

Defect detection method for thin elastic pantyhose based on machine vision

作　　者：王玉涵[1] 程凯 孙以泽[1] WANG Yuhan CHENG Kai SUN Yize(College of Mechanical Engineering,Donghua University, Shanghai 201620, China)

机构地区：[1]东华大学机械工程学院,上海201620

出　　处：《毛纺科技》2017年第8期80-84,共5页Wool Textile Journal

摘　　要：为了甄别在弹性裤袜中可能会出现的损坏性破洞,提出了一种基于机器视觉的检测方法。利用工业摄像头获取裤袜图像,选用合适的小波基,对经过预处理的裤袜图像进行二维离散小波变换,从小波分解得到的裤袜经向和纬向子图像中提取特征值,对含有疵点的裤袜图像的高频细节子图进行特征提取和归一化处理。对得到的特征值曲线进行分析,根据曲线的突变位置,判断待检测裤袜中疵点的位置;采用基于最大熵的阈值分割法进行阈值分割,从而获取裤袜疵点位置。A hole detects detection method for the thin elastic pantyhose based on machine vision was proposed. The pantyhose image was taken by industry camera. Selected a suitable wavelet base and transformed the preprocessed image of pantyhose by the two-dimensional discrete wavelet. Extracted and normalized the characteristics from the high-frequency detail sub-image. The position of defect of the pantyhose was determined by analyzing the characteristic value curve. Furthermore, maximum entropy was applied to threshold segmentation to locate defects.

关 键 词：轻薄弹性裤袜 机器视觉 小波分解 疵点检测 阈值分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TS941.79[自动化与计算机技术—计算机科学与技术]