arrow
返回

Edge-enhancement postprocessing using artificial dissipation

delete2006-06-01
delete10
delete
OA
AI
A
Amir Averbuch *
B
Boris Epstein
N
Neta Rabin
E
Eli Turkel
DOI:10.1109/TIP.2006.875734delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
We present a method to enhance, by postprocessing, the performance of gradient-based edge detectors. It improves the performance of the edge detector by adding terms which are similar to the artificial dissipation that appear in the numerical solution of hyperbolic PDEs. This term is added to the output of the edge detector. The edges that are missed or blurred by the edge detector are reconstructed through the addition of the artificial dissipation terms. Edges that are detected correctly by the edge detector are preserved. We present the theory of the artificial dissipation and its improvement of the quality of the detected edges. We demonstrate the performance of the algorithm on diverse images.
Keyword:
artificial dissipation
Canny
edge detector
hyperbolic partial differential equations (PDE)
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Image Processing 封面图
IEEE Transactions on Image Processing
IF:
13.7
论文数:
1.0W
被引数:
8.4W

机构

暂无机构信息
引用论文

引用论文

Low-intensity exercise training decreases cardiac output and hypertension in spontaneously hypertensive rats
err1997-12-01
err0
PREAI
errAcácio Salvador Véras-Silva; Katt Coelho Mattos; Nilo Sérgio Gava; Patricia Chakur Brum; Carlos Eduardo Negrão; Eduardo Moacyr Krieger
err分享
err收藏
没有更多内容