摘要
提出了一种新的区间值模糊集的模糊熵,并将其用于图像的阈值分割.根据图像直方图确定模糊化因子,选择适当的主隶属函数实现图像的区间值模糊集表示.利用新的区间值模糊集的模糊熵研究了图像的阈值分割算法.仿真实验表明,新的基于区间值模糊集模糊熵的阈值分割算法在处理模糊图像及具有噪声图像方面均比经典图像阈值分割方法更有效.
A new definition of fuzzy entropy of interval-valued fuzzy sets is proposed and applied to the image thresholding segmentation.A fuzzy parameter is determined according the histogram of image.The image is represented by an interval-valued fuzzy set through selecting an appropriate primary membership function.Then a new method of image thresholding segmentation based on fuzzy entropy of interval-valued fuzzy sets is proposed.Numerical examples show the rationality and practicality of the new method in threshloding segementation of images with noises.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2010年第5期788-790,共3页
Journal of Harbin Institute of Technology
基金
国家自然科学基金资助项目(10771043)
关键词
区间值模糊集
模糊化因子
阈值分割
噪声
interval-valued fuzzy sets
fuzzy factor
thresholding segmentation
noise
