样条小波自适应阈值多尺度边缘检测算法研究

在Marr的计算机视觉系统中，图像边缘检测占据着重要位置。但由于问题本身的复杂性和技术手段的限制，已有的边缘检测方法并不能得到较理想的边缘。充分利用小波变换的特点。设计三次B样条平滑滤波算子，对图像进行多尺度滤波。得到不同尺度的小波变换，再结合由适应阈值方法，在每种尺度下分别提取图像边缘；而后利用过缘信息的多尺度特性。融合多尺度边缘得到单像素宽边缘。通过计算机仿真对该方法进行验证，实验结果表明该方法不仅能准确检测出图像边缘，而且能有效地抑制噪声，该算法对图像边缘检测的效果优于目前已有的边缘检测算法。

Research of Spline Wavelet Adaptive Thresholds Multi-scale Edge Detection

Image edge detection plays an important role in Marr's computer vision system.Because the problem itself is complicated and the technique is limited,the traditional method of edge detection can't obtain ideal edge.The characteristic of wavelet transform was made good use of,and the cubic B-spline smoothing filter operator was designed to perform multi-scale filtering.The obtained multi-scale wavelet transform was combined with adaptive thresholds to extract image edge at different scale.Then using the multi-scale characteristic of the edge information and synthesizing multi-scale edge,the image edge with only a pixel width was obtained.The method was confirmed by computer simulation and the experiments results demonstrate that this method can not only detect image edge precisely,but also effectively restrain noise,and this algorithm performs better than the existing image edge detection algorithms.