Paper Title:
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.

  Info
Periodical
Chapter
Chapter 3: Sensor, Test and Signal Processing
Edited by
Zhixiang Hou
Pages
469-472
DOI
10.4028/www.scientific.net/AMM.128-129.469
Citation
Z. H. Yang, X. L. Han, F. F. Guo, "A Novel Corner Detection Based on Improved SUSAN Model", Applied Mechanics and Materials, Vols. 128-129, pp. 469-472, 2012
Online since
October 2011
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