摘要
采用基于二阶B样条小波变换的多孔算法提取图像边缘,对图像分块并且采用人机交互的方法对每一子块选择合适的边缘检测阈值,并利用边缘跟踪补偿进一步修正边缘.实验结果表明这种算法是十分有效的.
This paper shows how to detect the edge by a＇trous algorithm based on the quadric B-spline wavelet, divide the image into small blocks, choose appropriate edge detection threshold for each by human-robot interaction, and use edge tracking and compensating algorithm to improve the edge detection performance. Experimental results indicate that the algorithm is very effective.
出处
《青岛理工大学学报》
CAS
2007年第2期78-80,89,共4页
Journal of Qingdao University of Technology
关键词
小波变换
边缘检测
多孔算法
边缘跟踪补偿
wavelet transform
edge detection
a＇trous algorithm
edge tracking and compensating
