This paper presents a new image description and matching process based on internal self-similarity property of images. Various definitions of self-similarity are explored to find the best one for image matching. The method also ensures rotation and scale invariance and computational efficiency through a feature detection process. Experiments demonstrate that the proposed method increases robustness of image matching under different imaging conditions or modalities.
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