A complex network-based approach for interest point detection in images

This paper presents a new approach to detect interest points in digital images based on complex network theory. We propose a computable method according to the properties of complex network to each image. We associate a weighted network, analyze the degrees and communities of nodes and can provide visual display of the importance of different interest points in an image. The results show the approach can effectively detect interest points in images.

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