Defect Extraction for CR Image of Aluminum Welding Seam Based on Wavelet Transform Modulus Maxima Method
-
摘要: 针对计算机射线照相技术(Computed Radiography，CR)图像中焊缝区域以及缺陷的提取问题，运用小波模极大值法提取缺陷。文章以铝焊缝CR图的缺陷提取为例，首先使用小波模极大值法处理，通过增强的列灰度曲线可明确地获得焊缝边界以及缺陷所在的局部位置，然后根据尖峰宽度的中值大小大致评估区域内缺陷是裂纹类还是非裂纹类缺陷，同时比对几种缺陷提取方法。试验表明，小波模极大值法较其它方法能更准确地提取焊缝边界及焊接缺陷，具有良好的可行性与实用性。Abstract: This paper reported the way of defect extracting by wavelet modulus maxima method for welding area of computed radiography(CR) image, for which the defect extraction of aluminum welding CR image was taken as an example. Firstly, we used wavelet modulus maxima method to obtain enhanced grey curve of Al welding CR image which could show a clear boundary and local position for weld defect. Sequentially, we classified defect in welding zone as crack defect or non-crack defect by peak width, and compared it with other defect extraction methods. The results indicated that wavelet modulus maxima algorithm was feasible and practical, which improved the recognition accuracy of welding zone and defects extraction in computed radiography image based on wavelet transform modulus maxima.
-
-
[1] 张晓光，高顶.射线检测焊接缺陷的提取和自动识别［M］.北京：国防工业出版社,2004,10:2. [2] 山口裕治.焊接缺陷引起的焊件断裂及其防止方法［J］.国外机车车辆工艺,2008(1):12-16. [3] 张丽萍，黄廉卿.工业X射线照相技术的应用与展望［J］.光机电信息,2005(1):24-28. [4] 张晓光，林家俊.X射线检测焊缝的图像处理与缺陷识别［J］.华东理工大学学报,2004,30(2):199-203. [5] 杨建国.小波分析及其工程应用［M］.北京：机械工业出版社,2005:107-111. [6] 张旭东，詹毅，马永琴.不同信号的小波变换去噪方法［J］.石油地球物理勘探,2007,42(增刊):118-123. [7] 赵瑞珍.小波理论及其在图像、信号处理中的算法研究［D］.西安：西安电子科技大学,2001. [8] Koley C, Purkait P, Chakravorti S. Wavelet-aided SVM tool for impulse fault identification in transformers［J］. IEEE Transactions on Power Delivery,2006,21(3):1283-1290. [9] Daubechies I, Teschke G. Variational image restoration by means of wavelets: simultaneous decomposition, deblurring anddenoising［J］. Applied and Computational Harmonic Analysis,2005,19(1):1-16.
计量
- 文章访问数: 3
- HTML全文浏览量: 0
- PDF下载量: 1
下载:
