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飞机蒙皮裂纹的数学形态学识别方法
引用本文:郝振华,李丽,王少辉,高庆吉. 飞机蒙皮裂纹的数学形态学识别方法[J]. 中国民航学院学报, 2009, 27(6): 5-8,16
作者姓名:郝振华  李丽  王少辉  高庆吉
作者单位:[1]中国民航大学航空自动化学院,天津300300 [2]东北电力大学自动化学院,吉林吉林132012
基金项目:国家自然科学基金项目 
摘    要:提出了一种基于数学形态学的飞机蒙皮裂纹磁光图像检测方法。首先应用内距均值法确定磁光图像中类圆形铆钉区域的圆形参数,然后利用自适应线性星形形态学腐蚀算子分割裂纹缺陷。其中,以四点方向快速定位法确定腐蚀算子的方向,并用中心对称法处理裂纹缺陷区域粘连的情况,最后,根据备选区域相关特征进行分类,判别缺陷存在及其特征参数。实验结果表明:算法在检测裂纹的多种特征方面具有优越性。

关 键 词:飞机蒙皮裂纹  内距均值法  腐蚀算子  裂纹缺陷识别

Morphological Recognition Method of Aircraft Skin Cracks
Affiliation:HAO Zhen-hua ,LI Li , WANG Shao-hui , GAO Qing-ji ( 1.Department of Aeronautical Automation, CA UC, Tianjin 300300, China; 2. Department of A utomation, Northeast Dianli University, Jilin 132012, China)
Abstract:A method for aircraft skin crack defects detection based on mathematical morphology is posed.Firstly,the center and the radius of rivet areas are determined by the inner-distance mean value method;and then the crack defect is segmented by the method of self-adaptive liner star-shaped morphology erosion operator whose direction is determined by the four-point direction rapid positioning method and the centro-symmetric method is used to resolve the problem of crack defects region adhesion.Finally, the alternative regions are classified according to their related characteristics, and then determine the existence and feature parameters of defects. The experimental results show that the recognition algorithm for aircraft skin crack defects detection compared other exist methods has the advantage on the amount information of crack defects detected.
Keywords:aircraft skin crack  inner-distance mean value method  erosion operator  crack defects recognition
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