Surface Design Method based on Image Denoising 

Zhike KUANG

Hunan City University, Yiyang, Hunan, 413000, China 

Abstract: 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   norm and   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.

Keywords: Surface Methodology; Grid Quality; Optimization; Feature Detection