Multilevel Wavelet Decomposition Based Harris Corner Detection Algorithm for Remote-sensing Image

被引：0
|
作者：
Zhou, Bing [1 ]
Niu, Xiao-xing [1 ]
Liu, Xiao-nan [1 ]
Yang, Xin-xin [1 ]
机构：
[1] Henan Univ, Kaifeng 475000, Henan, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM 2018) | 2018年 / 310卷
关键词：
Remote-sensing image; Multilevel wavelet decomposition; Corner detection; Harris algorithm;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Because of the interference of the noise and the subtle texture, the Harris algorithm will generate much more false corners. An improved Harris algorithm based on multilevel wavelet decomposition is proposed. By multilevel wavelet decomposition, the high frequency components of image are extracted. These high frequency components with different scales are parsed, and the noises and subtle textures are suppressed while the original image edge features are kept. The final experiment shows that the improved corner detection algorithm can effectively reduce the number of false corners.
引用
收藏
页码：364 / 372
页数：9
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