Image Edge Detection Based on Multi-Structure Elements and Nonsubsambled Contourlet Transform

Kun Xian He; Qing Wang; Fan He

doi:10.4028/www.scientific.net/AMR.591-593.1822

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Image Edge Detection Based on Multi-Structure...

Image Edge Detection Based on Multi-Structure Elements and Nonsubsambled Contourlet Transform

Abstract:

This paper presents a fusion algorithm for image edge detection based on the mathematical morphology and the NSCT. First the de-noised image is processed by the multi-structure elements of the mathematical morphology. And then the processed image is decomposed by the NSCT into multi-scale and multi-directional sub-bands. Edges in the high-frequency sub-bands are extracted with the dual-threshold modulus maxima method. Finally the edges of the de-noised image are refined into a single pixel edge image. The simulation results show that this method can effectively suppress noise, eliminate pseudo-edges, locate accurately and detect the complete outline.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

1822-1826

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1822

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Online since:

November 2012

Authors:

Kun Xian He, Qing Wang, Fan He

Keywords:

Dual-Threshold, Edge Detection, Modulus Maxima, Multi-Structure Elements, Nonsubsampled Contourlet Transform (NSCT), Refine

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