首页|基于优化Hough变换的铆接高度差亚像素检测方法研究

基于优化Hough变换的铆接高度差亚像素检测方法研究

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针对飞机铆接高度差的检测问题,提出了一种优化的Hough变换铆接高度差亚像素检测方法.该方法首先通过空间域点运算的灰度变换法对采集的铆接孔图像进行增强处理,然后利用局部阈值分割法进行图像分割,采用Canny算法进行边缘粗提取,再利用优化的Hough变换进行亚像素级的边缘精细提取,提取出铆接孔和铆钉钉头的圆环区域,最后结合RANSAC算法进行圆拟合,利用开发算子get_current_region_z()分别提取内外圆环区域的高度平均值,再通过函数height_Z()将所得的高度平均值作差即可得到铆接表面的高度差.经试验证明,该检测方法亚像素精确定位能力强,检测结果准确率高、稳定性好,重复测量精度可达到±10 μm.
Research on Sub-Pixel Detection Method of Riveting Height Difference Based on Optimized Hough Transform
A sub-pixel detection method of riveting height difference based on optimized Hough transform was proposed for the detection of aircraft riveting height difference.Firstly,the collected riveting height difference image was enhanced by gray scale transformation method of point operation in spatial domain,segmented by the local threshold segmentation method.Then,Canny operator edge detection was used to extract rough edges and the optimized Hough transform was used to extract sub-pixel edge,and the ring region of rivet hole and rivet head is extracted.Finally,the circle fitting was carried out with the RANSAC algorithm to generate the circle contour,and the average height values of the inner and outer ring regions were respectively extracted by the operator get_current_region_z().Then the height difference of the riveted surface can be obtained by the difference of the average height obtained by the function height_Z().Experiments show that the detection method has strong sub-pixel accurate positioning ability,high accuracy,good stability and repeated measurement accuracy of±10 μm.

Riveting height differenceGray scale transformationThreshold segmentationHough transformSub-pixel

潘新、李海伟、张函力、申霖、张新喜、纪俐

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航空工业沈阳飞机工业(集团)有限公司,沈阳 110850

沈阳航空航天大学,沈阳 110136

沈阳工业大学,沈阳 110870

华晨汽车集团控股有限公司,沈阳 110141

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铆接高度差 灰度变换 阈值分割 Hough变换 亚像素

国防基础科研项目辽宁省教育厅青年基金辽宁省教育厅基金辽宁省自然科学基金

JCKY2018410C004LJKZ01972131210222019-ZD-0230

2024

航空制造技术
北京航空制造工程研究所

航空制造技术

CSTPCD北大核心
影响因子:0.403
ISSN:1671-833X
年,卷(期):2024.67(17)