小波变换阈值选取的博弈与图像边缘点检测

Wavelet Transform Threshold Selection Games Analysis and Edge Points Extraction of Image

介绍了小波变换的理论,从一维空间小波变换故障信号检测实例出发,分析应用小波变换进行信号突变点检测时,阈值选取对消除噪声和信号真实突变点检测的影响,引出小波变换阈值选取的博弈观点;通过软件编程实现小波变换和模极大阈值法图像边缘点的提取,对比选取不同阈值时边缘点图像实例的效果,进一步讨论了阈值优化的博弈结论和相关技巧;认识和应用此结论不仅可以有效减小噪声,而且可以更加准确地提取图像边缘点,实验证明效果很好。

Wavelet transform principle is briefly introduced in this paper, through analyzing the fault sign detection based on wavelet transform, elicit the point of wavelet transform threshold selection games analysis. Computer software realizes the edge points extraction of image based on wavelet transform. Compare these edge points images can get the conclusion that the wavelet transform threshold need optimize, with this conclusion, not only effectively reduces noise, but also accurately extracts the edge points of image. The experiment results show the good effect.