Abstract:
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 im...Show MoreMetadata
Abstract:
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.
Published in: Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.
Date of Conference: 29-29 July 2005
Date Added to IEEE Xplore: 14 November 2005
Print ISBN:0-7803-9050-4