摘要： 在Sugeno模糊积分和柔性多结构基础上，提出新的彩色图像形态学滤波器和边缘检测方法。基于Sugeno模糊积分的评价值进行彩色图像点的矢量排序，通过结构元素的比较分析，得出柔性多结构元素抗噪声能力更强。与基于HSV矢量排序的方法比较，基于Sugeno模糊积分矢量排序的形态学变换效果更好。实验表明，新的形态学算法比经典形态学算法能更有效地去除图像的噪声和获取彩色图像边缘，保留图像细节。

关键词: Sugeno模糊积分, 柔性多结构元素, 数学形态学, 彩色图像处理

Abstract: Based on Sugeno fuzzy integral and soft-multi-structural elements, new filter and edge detection are presented. Color image pixels are sorted by the value of Sugeno fuzzy integral. Comparing with other structural elements, soft-multi-structural elements are better on the noise restrained. Morphological transform based on the ranking of Sugeno fuzzy integral can get better results than based on the ranking of HSV. Experimental results demonstrate that the ability of color processing based on the new morphology is superior to the classical one, and that the algorithm possesses excellent performance on the noise restrained.

Key words: Sugeno fuzzy integral, soft-multi-structural element, mathematical morphology, color image processing

中图分类号: 

• TP391.41