An efficient rotation-invariance remote image matching algorithm based on feature points matching

In this paper, a matching method based on feature points matching is proposed. First, a point detector is used to detect interest points of a source image and a target image. Then genetic algorithms (GAs), which are useful in finding global optima, are used to match the detected points. A fitness function which is proven rotation-invariance is proposed to measure the similarity of two points in the paper. According to the results of the GAs, the corresponding points of the target image are found in the source image. The algorithm can overcome the rotation distortion of the images. The experiment results confirm the proposed algorithm is efficient and robust.