A Novel Corner Detection Based on Improved SUSAN Model

Zhi Hui Yang; Xiao Lan Han; Fang Fang Guo

doi:10.4028/www.scientific.net/AMM.128-129.469

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129A Novel Corner Detection Based on Improved SUSAN...

A Novel Corner Detection Based on Improved SUSAN Model

Abstract:

The paper proposes a novel corner detection algorithm based on classical Susan model. The improvement is given from two aspects. One is the choice of the self-adaptive threshold. The other is that we present a rotate coordinate system to find all possible corner points. Experiment result shows that the modified algorithm is robust and of high efficiency.

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Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

469-472

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.469

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Online since:

October 2011

Authors:

Zhi Hui Yang, Xiao Lan Han, Fang Fang Guo

Keywords:

Corner Detection, Self-Adaptive Threshold, Susan Model

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References

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