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2008
IEEE

Robust Edge Detection Based on Non-local Contribution of Local Frequency Characteristics

9 years 4 months ago
Robust Edge Detection Based on Non-local Contribution of Local Frequency Characteristics
This paper introduces a robust approach to the problem of edge detection in situations characterized by high levels of image degradation and illumination non-uniformity. Popular edge detection methods are dependent solely on local image characteristics to localize edge information. In the proposed algorithm, we demonstrate that superior edge detection performance can be achieved by utilizing nonlocal image characteristics. This is accomplished by estimating the edge strength of a given pixel based on the local frequency characteristics of every pixel within an image. The proposed method is highly robust to scenarios characterized by illumination non-uniformity and low signal-tonoise ratios. Experimental results show that using the proposed method, edge detection can be qualitatively improved over existing methods on a small set of test images.
Alexander Wong, William Bishop
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ISM
Authors Alexander Wong, William Bishop
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