摘要
针对现有广义直觉模糊指标的构造并未利用直觉模糊集广义补算子的不足,本文首先利用直觉模糊广义补算子给出了一种新的广义直觉模糊指标的构造法,其次对广义直觉模糊指标所具有的性质进行了严格证明,最后将其用于图像阈值化分割并给出其直觉模糊广义补算子参数的选取方法。实验结果表明,本文所提出的广义直觉模糊指标构造法是有效的,对于光照不均匀图像能获得满意的分割效果。
Considering that the construction method of Existing generalized intuitiomstlc tuzzy moex oonot make use of the generalized intuitionistic fuzzy complement operator. Firstly, this paper proposes a kind of new generalized intuitionistic fuzzy index by means of generalized intuitionistic fuzzy complement operator. Secondly, the properties of generalized intuitionistic fuzzy index is strictly proved to be correct. Finally, it is applied in image thresholding segmentation, meanwhile the choosing method of parameters in image thresholding criteria based on generalized intuitionistic fuzzy index is presented. Experimental results show that the proposed construction method of generalized intuitionistic fuzzy index is effective, and the new image thresholding segmentation method based on generalized intuitionistic fuzzy index can obtain more satisfactory segmentation quality than that of traditional intuitionistic fuzzy entropy for uneven illumination gray images.
出处
《模糊系统与数学》
CSCD
北大核心
2013年第1期154-167,共14页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(61073106)
关键词
直觉模糊集
直觉模糊指标
直觉模糊补算子
阈值分割
Intuitionistic Fuzzy Set
Intuitionistic Fuzzy Index
Intuitionistic Fuzzy Complement Operator
Thresholding Segmentation
