An Approach to Shape Recognition Based on Radon Transforms
Xuan hang Wang · Journal of the China Railway Society · 2008
Shape recognition is a very important issue in computer vision and digital image processing.Invariant moment has extensive applications in the field of Shape recognition due to its ability to represent global features and characteristics independent of translation,scale and rotation.This paper has addressed the issue of selecting invariant features for shape recognition in translation,scaling and rotation.Scaling and translation of an image were firstly normalized by coordinate transform and then the Radon transform was applied to the results to obtain a projection matrix.Finally,the set of invariant moments A(r),E(r) was derived from the matrix.Theoretical and experimental results show that the superiority of this approach includes low computational complexity and high robustness to additive noise in comparison with some recent methods.The results also show that the proposed approach can achieve better classification performance by a few descriptors.