计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (27): 175-178.DOI: 10.3778/j.issn.1002-8331.2010.27.049
• 图形、图像、模式识别 • 上一篇 下一篇
董桂云
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DONG Gui-yun
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摘要： 粗糙集是解决模糊性、随机性、复杂性和不可分辨性问题的有效工具。利用粗糙集理论，给出了一种基于粗糙集的图像边界检测算法，研究了算法的基本原理、实现和复杂度。实验结果表明该算法在计算速度、抗噪能力、鲁棒性、可控能力和检测效果等方面，均优于其他边界检测算法。
Abstract: The famous rough set is useful tool to solve the problem of ambiguity，complexity，random city and less distinguish ability.This paper gives an adaptive edge detection algorithm based on rough set，carries out some researches on the basic theory，realization and complexity of the algorithms.Experimental results show this algorithm is better than other edge detective algorithms in speed，antinoise ability，controllability and view effect.
中图分类号:
TP391.41
董桂云. 图像的自适应粗糙集边界检测[J]. 计算机工程与应用, 2010, 46(27): 175-178.
DONG Gui-yun. Adaptive rough set edge detection of image[J]. Computer Engineering and Applications, 2010, 46(27): 175-178.
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链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2010.27.049
http://cea.ceaj.org/CN/Y2010/V46/I27/175
