DocumentCode :
1727763
Title :
A New Algorithm Based on Multi-scale Order Morphology for Gray Image Edge Detection
Author :
Pingping, Zeng ; Binyang, Zeng
Author_Institution :
Jiangxi Blue Sky Univ., Jiangxi
fYear :
2007
Abstract :
In this paper, we present the basic concept of order-morphology and multi-scale structure elements. For gray image segmentation, we develop a new approach for edge detection by combining order-morphology and multi-scale structure elements. Here, the image is convolved with a set of multi-scale structure elements, after then sorted by order morphology, at last all the result images are integrated into one according to how much edge clues it reflects. Compared to traditional Laplacian, Robert and Canny edge detectors, the experiments show that this proceeding produces clearer and more continuous edges, particularly to noised pictures. It obtains good anti-noise capacity due to both order-morphology and multi-scale elements could suppress the influence of noise when detecting edges.
Keywords :
edge detection; image segmentation; mathematical morphology; anti-noise capacity; gray image edge detection; gray image segmentation; multiscale order morphology; multiscale structure elements; Detectors; Educational institutions; Filters; Image edge detection; Image segmentation; Instruments; Laplace equations; Machine vision; Morphology; Pixel; edge detection; multi-scale; order morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4350847
Filename :
4350847
Link To Document :
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