Matching and normalization of affine deformed image from regular moments
The notion of linear moment vector is introduced as an efficient approach for matching and normalization of affine deformed image. Least square error technique is introduced to improve the robustness and accuracy of the matching. By normalizing the linear moment vectors, the affine deformed image can be normalized. Our approaches are based only on regular moments that can be obtained easily from the image without extracting any feature point. The techniques can be generalized to n-dimensional case. The experiment results show that the proposed method gives good performance.
matching normalization regular moments linear moment vectors affine transformation