摘要
基于内窥镜的视觉检测技术在现代航空发动机故障诊断中发挥着重要的作用。针对航空发动机篦齿盘均压孔上产生的表面裂纹,采用基于工业视频内窥镜的孔探技术对其进行自动视觉检测。在对均压孔裂纹形成原因和裂纹形态进行分析的基础上,提出一种基于定位-识别模型的盘孔表面裂纹检测方法。该方法采用一种新的模糊快速Hough算法检测均压孔的圆形边界,对盘孔进行定位;然后根据裂纹分布情况确定感兴趣区域,并对该区域内的图像进行二值化和细化;最后采用链码分析实现裂纹识别。在实验中,对比了模糊快速Hough变换、标准Hough变换和随机Hough变换检测盘孔边界的效果,结果表明模糊快速Hough变换可以快速准确地识别出圆形边界,并对盘孔进行定位。采用上述方法对80幅均压孔图像进行裂纹检测试验,结果表明检测的准确率可达91.2%。
The visual inspection based on an endoscope has played an important role in modern fault diagnosis of aeronautic engines, An inspection approach to surface craeks of the aperture on an aeroengine labyrinth disc is studied based on the industrial videoscope in this paper. After analysis on the appearance reasons of the cracks and their characteristics, an automatic recognition method for surface cracks is proposed based on a localization-recognition model and a novel fuzzy fast Hough transform is presented to detect the eircular contour to locate the aperture, Then, an interesting region is defined around the aperture, and the image in the interesting region is hinarized by a threshold and the binary image is thinned by a morphological method. Moreover, the chain codes in the image are analyzed to recognize the crack, The results of circular contour detection by the proposed fuzzy fast Hough Trans-form are compared with those by the Standard Hough transform and randomized hough Transform, respectively. The results show that the fuzzy fast Hough transform can detect the contour and can locate the aperture quickly and accurately. A crack detection experiment is carried out for 80 aperture images, and the results indicate that the detecting accuracy is 91. 2%.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2009年第5期1187-1195,共9页
Optics and Precision Engineering
基金
"十一五"国防预研项目(No.51317030106)
