摘要
本文利用小波变换的多尺度性,对机械零件的断层图像进行小波分解,将图像边界的局部细节特征进行加强,再利用小波重构和Canny算子对图像进行边界检测,准确地检测出了图像的边缘。通过实验分析以及与其他方法的比较,证明此方法在机械零件的断层图像的边缘检测中是切实可行的。
This paper discusses the method of analyzing the CT image of machine parts, intensifying the detailed features of the image edge by taking advantage of the multi - scale of wavelet transform, and then detecting the edge of image by using wavelet reconstruction and Canny arithmetic to get the accurate resultst. The experiment and the comparison with other methods indicate that this method is feasible in the edge detection of machine part＇s CT image.
出处
《成都电子机械高等专科学校学报》
2010年第1期11-14,共4页
Journal of Chengdu Electromechanical College
关键词
边缘检测
小波变换
断层图像
反求工程
Edge Detection
Wavelet Transform
ICT Image
Reverse Engineering
