Image Edge Detection Based on Multi-structure Elements and Nonsubsambled Contourlet Transform
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.
Nonsubsampled contourlet transform (NSCT) Multi-structure elements Modulus maxima Dual-threshold Edge detection Refine
Kun Xian He Qing Wang Fan He
School of Instrument Science and Engineering,Southeast University Communication &Power Utilization Technology Sub-company,China Electric Power Research Institute,Chin
国际会议
广州
英文
1822-1826
2012-11-16（万方平台首次上网日期，不代表论文的发表时间）