基于改进的Hough变换缸套内面网纹夹角检测  被引量:3

Detection of Crosshatch-angles of Cylinder Liner Based on Improved Hough Transform

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作  者:刘乔楠 张仁杰[1] 李倩倩[1] 

机构地区:[1]上海理工大学,上海200093

出  处:《包装工程》2017年第15期14-20,共7页Packaging Engineering

基  金:上海市教育委员会重点学科建设资助项目(J50505)

摘  要:目的缸套内面网纹角是影响缸套性能的重要参数,为了在生产过程中快速准确检测出网纹角参数,剔除不合格产品,研究基于改进的Hough变换缸套内面网纹夹角检测方法。方法确定缸套图像的预处理算法,增强图像网纹特征,滤除次要信息;确定基于Canny算子的网纹特征边缘分割方法;确定基于改进的Hough变换网纹直线特征提取方法,通过计算提取直线夹角的平均值得到缸套网纹角值。结果试验表明,基于改进的Hough变换网纹角检测结果与进口仪器检测结果相比,平均误差为1.54%,检测精度高。结论提出的检测算法可准确识别缸套内表面网纹角,能很好地代替传统人工复膜检测和昂贵的进口检测仪器,满足工业现场自动检测的需要,提高了检测的效率和精度,降低了检测成本。The work aims to research the method to detect the crosshatch-angles of cylinder liner based on improved Hough transform, in order to rapidly detect crosshatch-angles in the production process and eliminate the rejected products, with respect to the fact that the crosshatch-angle of cylinder liner is an important parameter that affects cylinder liner performance. Firstly, the image pre-processing algorithm of cylinder liner was determined, the crosshatch features of image were strengthened and the secondary information was filtered out. Then, the crosshatch feature edge segmentation method based on Canny operator and the crosshatch linear feature extraction method based on improved Hough transform were determined, respectively. The crosshatch-angle of cylinder liner was obtained by calculating the mean value of included angle between straight lines. The test showed that, compared to the detection results of imported instruments, the average error of such results of crosshatch-angle based on improved Hough transform was 1.54% and the detection accuracy was high. The proposed detection algorithm can accurately identify the crosshatch-angles of cylinder liner, properly replace the traditional manual laminating detection and the expensive imported detection instrument, meet the requirements of automatic detection on industrial site, improve the detection efficiency and accuracy, and reduce the detection costs.

关 键 词:网纹角 在线检测 直线特征提取 改进的Hough变换 

分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]

 

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