期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：77-88
DOI：10.14257/ijsip.2015.8.12.09
出版社：SERSC
摘要：In order to solve the issues like the feature detection algorithm surface design too sensitive to the presence of noise, this thesis proposes the grid processing algorithm. Firstly, the constrained smoothing model is used to smooth the grid, in which the bound terms are the sparse constraint terms of the error term of 2 l norm and 1 l norm. In the process of smoothing, the points of the smooth location move less, while the there is a greater movement of feature points. And then through the anglicizing the movement distances the initial feature points are extracted; finally, after the generating of the initial feature points, the feature points are more complete. Experimental results show that: the proposed algorithm can handle the noise of too sensitive.
