In order to resolve the problem of image lines matching

a line matching algorithm based on Haar wavelet response is proposed.Firstly

lines are extracted by Canny algorithm.The statistical linear Haar-wavelet response vector is adopted as the main direction of the straight line

so as to avoid the rotation invariant.Secondly

by constructing six Gaussian scale factors

the neighborhood of straight line is divided into non-overlapping sub-region in the corresponding scale space. Then calculating response characteristics of Haar-wavelet

and using the normalized characteristics of the statistical weighted mean and variance as a linear descriptor.Finally

constructing the cascade feature descriptors is used to achieve wide baseline image matching.Experimental results show that the proposed method is robust to changes in occlusion

rotation

affine and scale.Meanwhile

the method can achieve stable line matching between the IR and visible images.