Interest Point Detection Based on Monogenic Signal Theory

Li Juan Wang; Chang Sheng Zhang

doi:10.4028/www.scientific.net/AMR.926-930.3451

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Interest Point Detection Based on Monogenic Signal...

Interest Point Detection Based on Monogenic Signal Theory

Abstract:

A new algorithm is proposed for interest point detection based on monogenic signal theory in this paper. The detection of stable and informative image points is one of the most important problems in modern computer vision. Phase congruency is a dimensionless measure that remains invariant to changes in image illumination and contrast. A monogenic phase congruency function is constructed using the characteristics to detect interest points in image. The experiment results indicate that different kinds of interest points can be detected and located with good precision, thus the proposed method can be applied over wide classes of images.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3451-3454

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3451

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Online since:

May 2014

Authors:

Li Juan Wang*, Chang Sheng Zhang

Keywords:

Interest Point, Monogenic Signal, Phase Congruency

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