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Supporting range and segment-based hysteresis thresholding in edge detection

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Supporting range and segment-based hysteresis thresholding in edge detection
One of the important steps in gradient-based edge detection is thresholding, e.g., hysteresis thresholding in the Canny detector. Traditional approaches use gradient magnitude as the criterion to select edge pixels. We introduce a novel saliency measure called supporting range. It measures the range along the gradient direction of an edge pixel in which its gradient magnitude is a local maximum. As the result, our approach can detect the edge pixels on object boundaries even if they have very low gradient magnitude. In addition, unlike the Canny detector, the proposed hysteresis thresholding approach is based on segments instead of individual pixels. This also makes the approach more robust to detect weak boundaries.
Lu Wang, Suya You, Ulrich Neumann
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICIP
Authors Lu Wang, Suya You, Ulrich Neumann
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