A New Denoising Algorithm Based on Fuzzy Mathematical Morphological Operations with One Parameter
In order to enhance the robustness of morphological image processing as well as the performance in the anti-disturbance,a new denoising algorithm with one parameter based on fuzzy mathematical morphological basic operations has been presented, and then some initial analysis for the selection of parameter are given. The method is applied in denoising for binary image with noise. The experimental results demonstrate that the noise can be nearly removed by using the new method and the detail of original image can be kept clearly with the clear edge, thus its performance is better than the classical morphological filter. In addition, the method has the feature of flexibility and better practicability due to containing an adjustable restricted parameter.
Fuzzy morphology Mathematical morphology Parameter Filtering Algorithm
Qi-sheng YAN
School of Mathematics & Information Science, East China Institute of Technology Fuzhou, Jiangxi 344000,China
国际会议
杭州
英文
755-758
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）