基于图像处理的微通道流道板表面缺陷检测方法研究

针对工业自动化生产中微通道流道板复杂结构表面缺陷自动检测的需求，提出了一种基于图像处理的流道板表面缺陷检测方法。该方法针对流道板CV孔和膨胀阀孔中常见的凹坑缺陷和破损缺陷，首先通过霍夫圆检测提取ROI区域剔除背景区域干扰，利用高斯滤波对ROI图像进行滤波处理，并使用二值化和形态学腐蚀运算对干扰噪点进行过滤从而凸显缺陷特征，之后使用Two-Pass算法和种子填充法计算连通域实现凹坑缺陷的检测；使用圆查找找到孔端面内外圆进行圆环展开并采用Canny边缘检测算子查找缺陷轮廓，筛选轮廓面积实现破损缺陷的检测。通过对比实验，验证了本文方法相较于传统表面缺陷检测方法，在流道板缺陷样本的检测中有更高的检出率。本文方法经验证，对流道板表面缺陷检出率稳定在92%以上，且算法处理速度快、鲁棒性强，实现了快速、非接触式的高精度检测，满足了工业自动化需求。

Research on surface defect detection method for microchannel flow channel plate based on image processing

A machine vision based surface defect detection method for microchannel flow channel plates is proposed to meet the demand for automatic detection of complex surface defects in industrial automation production. This method focuses on common pit and damage defects in the CV holes and expansion valve holes of the flow channel plate. Firstly, the ROI region is extracted through Hoff circle detection to eliminate background interference. Gaussian filtering is used to filter the ROI image, and binarization and morphological corrosion operations are used to filter out interference noise to highlight defect features. Then, the Two-Pass algorithm and seed filling method are used to calculate the connected domain to achieve pit defect detection. Use circle search to find the inner and outer circles of the hole end surface, unfold the circular ring, and use Canny edge detection operator to search for the defect contour, screen the contour area to achieve the detection of damaged defects. Through comparative experiments, it has been verified that the method proposed in this paper has a higher detection rate in the detection of defect samples in the runner plate compared to traditional surface defect detection methods. The method proposed in this article has been validated to have a stable defect detection rate of over 92% on the surface of the flow channel plate, and the algorithm has fast processing speed and strong robustness, achieving fast, non-contact high-precision detection and meeting the requirements of industrial automation.