Research on the Edge Detection Algorithm of Smokescreen Based on Mathematical Morphology

Abstract:

To solve the harmony problem of accuration, real-time with anti-noise capability on edge detection of smokescreen, the edge detection algorithm of smokescreen based on multi-scale mathematical morphological is designed, and the algorithm can effectively reduce the noise of the smokescreen image. Compared with the results of classical edge detection operator: Sobel, Roberts, Prowitt and Canny etc, it is concluded that the algorithm designed has obvious advantages in continuity, smoothness, image recognition, practical complexity, operation time and other related parameters.

• Periodical: Applied Mechanics and Materials (Volume 610)
• Pages: 429-436
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.610.429
• Online since: August 2014
• Authors: Xun Sun*, Xuan Yu Wang, Zhi Rong Luo, Han Xiao
• Keywords: Edge Detection, Mathematical Morphology, Smokescreen, Structural Elements

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