AN IMPROVED EDGE DETECTION METHOD FOR IMAGE CORRUPTED BY GAUSSIAN NOISE

被引：0

作者：

Wang, Xiao ^{[1
]}

Xue, Hui ^{[1
]}

机构：

[1] China Agr Univ Beijing, Coll Elect & Informat Engn, Beijing 100083, Peoples R China

来源：

COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2 | 2009年 / 295卷

关键词：

edge detection; Gaussian noise; directions; threshold;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Due to the difficulty with extracting edge points and eliminating noise points from images, an improved maximizing objective function algorithm was proposed. More directions were added to relocate the edge points, at the same time, edge and noise characteristics were analyzed to separate and the noise points were eliminated by a proper threshold T. The comparison based on principle of the improved method, classical methods and the references methods is done, the simulation results indicated that the performance of the improved edge detection method was better than that of other compared algorithms.

引用

页码：1153 / 1159

页数：7

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