An improved edge detection method based on topology

Yuan Yang; Zheng Li; Hansong Li

doi:10.1117/12.832968

30 October 2009 An improved edge detection method based on topology

Yuan Yang, Zheng Li, Hansong Li

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74941T (2009) https://doi.org/10.1117/12.832968
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In this paper, combined with Canny's criteria, we proposed an improved Rothwell edge detection method which aims to recover more reliable topological relations from the extracted edges. Distance transform is used to optimize location of the edge and B-Spline interpolation is applied for the detection of zero-crossing in the sub-pixel interpolation step, and edge refinement is used to adjust topology. Experiments results show our improved Rothwell edge detection algorithm ^[1] could retain more accurate geometry features while generate more stable topology than the original one.

Citation Download Citation

Yuan Yang, Zheng Li, and Hansong Li "An improved edge detection method based on topology", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941T (30 October 2009); https://doi.org/10.1117/12.832968

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