基于曲波变换和Susan种子点生长的边缘检测算法

An image edge detection algorithm based on curvelet transform and Susan seed point-growth

针对现存的基于空间域的图像边缘检测算法只能有效检测出图像有限方向边缘以及对于纹理复杂的图像边缘定位困难等问题,提出了一种基于曲波变换和Susan种子点生长的边缘检测算法,该算法首先对源图像进行曲波变换,然后对高频子图像运用Susan种子点生长算法进行边缘提取;对低频子图像采用极大值方法将轮廓检测出来,最后通过一定的融合规则进行融合,得到边缘图.理论和实验结果表明,该算法具有较高的效率和很好的抗噪声能力,尤其对具有复杂纹理的图像是一种有效的边缘检测方法.

capture o detection posed to The available image edge detection algorithm based on the spatial-domain can nly limited directional edge in image. An improved algorithm for the image edge based on the directions of each directional sub-band and its gradient is proovercome the disadvantages. By algorithm,firstly, multi-scale decomposition of the image is performed by curvelet transform. Then the edge detection of frequency sub-image and high-frequency sub-image are obtained. Finally, this edge tion method combines the advantages of both methods together to fuse the two edg low- dicformation obtained by different methods according to certain rule. Experimental results show that the new edge detection method is effective to suppression of noise, and has advantages of high precision image edge detection.