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Proceedings Paper

An improved edge detection method based on topology
Author(s): Yuan Yang; Zheng Li; Hansong Li
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941T (30 October 2009); doi: 10.1117/12.832968
Show Author Affiliations
Yuan Yang, Beijing Huahang Radio and Measurement Institute (China)
Zheng Li, Beijing Huahang Radio and Measurement Institute (China)
Hansong Li, Beijing Huahang Radio and Measurement Institute (China)


Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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