A Fast Target Recognition Algorithm Based on MSA and MSR

摘要

This paper presents a new fast target recognition algorithm, the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA, it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm, it is also robust to affine transform, light projective transform, noise, thin fog, occlusion and illumination change. the performed experiments show that it has fast searching speed, and can accurately recognize and locate target in real scenes.