结合嵌入可信度的B样条小波边缘检测

边缘检测中，用一个由输入数据得到的模板进行匹配是很有意义的，因为它提供了一种独立测量存在所用边缘模板的可信度的方法。文章充分利用边缘信息的多尺度特性及小波变换的特性，设计三次B样条平滑滤波算子，再结合嵌入可信度方法进行边缘检测，并进一步根据人类视觉系统的敏感性，对噪声严重的图像边缘检测进行了研究。实验结果表明，丈中所给的方法能准确检测出图像边缘，效果较好。

B-Spline Wavelets Edge Detection with Embedded Confidence

In edge detection, matching with a template derived from the input data is meaningful since it provides an independent measure of confidence in the presence of the employededge model. In this paper, by making good use of the characteristics of wavelet transform and multi scale of edge information, the cubic B spline smoothing filter operator is designed and combined with the embedded confidence to detect edges. Furthermore, the edge detection method for those images badly contaminated by noises is studied, according to the sensitivity of human visual system. The experimental results show that the proposed method can detect the edges of images accurately and efficiently.