摘要
This paper presents a novel image edge detection algorithm based on lifting scheme. Image is transformed at dyadic scales based on lifting scheme. A multiresolution edge point is considered if the magnitude of gradient attains a local maximum along the gradient direction. Theory and empirical result show that this algorithm is robust. Its time and space complexity is low and its result is precise and reliable.
This paper presents a novel image edge detection algorithm based on lifting scheme. Image is transformed at dyadic scales based on lifting scheme. A multiresolution edge point is considered if the magnitude of gradient attains a local maximum along the gradient direction. Theory and empirical result show that this algorithm is robust. Its time and space complexity is low and its result is precise and reliable.
出处
《计算机科学》
CSCD
北大核心
2001年第12期24-26,共3页
Computer Science
基金
国家自然科学基金
编号:69585002
69785003
关键词
提升算法
边缘检测
图像处理
计算机视觉
Lifting scheme, Wavelet transform, Edge detection, Interpolating subdivision
