基于二维光扫描的细长孔内壁疵病检测技术

Flaw detection technique of slot wall based on two-dimensional optical scanning

细长孔内壁疵病检测是采用光学、机械、计算机等技术实现深孔内表面疵病的自动观察与检测。该测试系统由光扫描光学成像分系统、CCD摄像分系统、计算机控制及图像处理分系统等组成。被测面的反射像通过内窥镜成像在面阵CCD的光敏面上,CCD输出的视频信号经图像采集卡输入计算机,经图像拼接及图像处理,最终完成疵病的检测与尺寸测量,测量精度可达到0.2mm。本文重点介绍了细长孔内壁疵病检测的原理、二维光扫描成像技术、图像拼接和图像处理技术,并对总体的检测精度进行了分析。该项检测技术不仅可计算出细长孔内壁疵病的面积大小、方位,还可检测出镀铬层脱落面的大小、方位,内壁裂纹的长度、方位等。

In this paper the flaw detection method of slot wall is discussed, it makes use of optical, mechanical, computer technique to observe and detect the flaw. The detection system includes optical scanning imaging subsystem, CCD photographing subsystem, computer control and image processing subsystem. The image of the slot wall is imaged on the pixel surface of a planar array CCD through endoscope; then the image is transformed into video signal. The video signal is inputted into a computer through the image acquisition card. After the image splicing and image processing, the detection and measurement of the flaw are finished at last, the detection accuracy can reach 0. 2mm The principle of the flaw detection of slot wall, the technique of two-dimensional optical scanning imaging, the technique of image splicing and image processing are introduced in detail, and the overall detection accuracy is analyzed. The detection technique can not only calculate the dimension and orientation of the flaw on the slot wall, but also detect the dimension and orientation of the shed part of chrome-plate, and the dimension and orientation of the crackle on the slot wall.