DocumentCode :
1863192
Title :
Supporting range and segment-based hysteresis thresholding in edge detection
Author :
Wang, Lu ; You, Suya ; Neumann, Ulrich
Author_Institution :
CGIT Lab., Univ. of Southern California, Los Angeles, CA
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
609
Lastpage :
612
Abstract :
One of the important steps in gradient-based edge detection is thresholding, e.g., hysteresis thresholding in the Canny detector. Traditional approaches only 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 edge pixels on weak boundaries.
Keywords :
edge detection; gradient methods; object detection; Canny detector; edge pixels detection; edge pixels selection; gradient magnitude; gradient-based edge detection; local maximum; object boundaries; range-based hysteresis thresholding; segment-based hysteresis thresholding; Computer vision; Detectors; Filters; Hysteresis; Image edge detection; Laboratories; Null space; Object detection; Pixel; Robustness; Edge detection; adaptive thresholding; perceptual grouping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4711828
Filename :
4711828
Link To Document :
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