会议专题

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

the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

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)