Image Edge Detection Based on Multi-Structure Elements and Nonsubsambled Contourlet Transform
2012 ◽
Vol 591-593
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pp. 1822-1826
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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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2018 ◽
Vol 11
(3)
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pp. 90-104
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2013 ◽
Vol 347-350
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pp. 3541-3545
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