Abstract

Traditional image matching methods are not proper for the situation of the angle rotation. Aiming at this problem, This paper proposes an round image matching method based on log-polar transform. Log-polar image transform can convert the rotation changes in Descartes coordinate to shift changes in log-polar coordinate, which had such trait as invariance to rotation. Results show that this algorithm based on log-polar transform can match the images with rotation changes, Compared with existing algorithms, the new algorithm not only had higher matching rate and stronger adaptability, but also can effectively solve matching problem under the circumstance of brightness changes, contrast changes or noise interferences.

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