基于视觉技术的活塞环漏光度检测的研究

Research on Photometric Detection of Piston Ring Leakage Based on Vision Technology

活塞环是汽车发动机中重要的零件,它的寿命将影响汽车的寿命,因此,活塞环的质量至关重要。目前,活塞环的检测普遍采用人工检测,采用视觉技术提取活塞环轮廓,对轮廓进行图像算法处理,得到测量结果。与人工检测相比,检测速度更快,精度更高。为了提高分辨率,采用图像拼接算法,在硬件条件不改变的情况下,得到分辨率更高的图像。提出了改进的Canny算子,提取活塞环轮廓图像。对活塞环轮廓拟合,得到圆心坐标。以圆心与开口的中心做一条直线作为检测起始线,顺时针检测漏光情况。为了避免程序重复运行,根据国家标准,将漏光类型分类,制定检测流程。

Piston ring is an important part in the car engine. Its life will affect the life of the car. Therefore, the quality of the piston ring is very important. At present, the detection of piston rings generally adopts manual detection. The contour of the piston ring is extracted by visual technology, and the contour is processed by image algorithm to obtain the measurement result. Compared with manual detection, the detection speed is faster and the accuracy is higher. In order to improve the resolution, an image stitching algorithm is used to obtain an image with a higher resolution without changing the hardware conditions. An improved Canny operator is proposed to extract the contour image of the piston ring. The center coordinates are obtained by fitting the piston ring contour. A straight line is made between the center of the circle and the center of the opening as the starting line of detection, and light leakage is detected clockwise. In order to avoid repeated operation of the program, according to national standards, the types of light leakage are classified, and a detection process is developed.