摘要
直方图阈值法因其简单性和抗噪性在图像处理中得到了广泛应用。针对传统模糊熵阈值法对图像分割最佳阈值选取缺乏鲁棒性的问题,提出了参数型模糊熵图像分割新方法。该方法对图像分割最佳阈值选取具有良好的鲁棒性,适当调整参数可获得满意的视觉分割效果。实验结果表明,提出的方法是可行的。
Histogram thresholding method is applied extensively in the image processing fields because of its simplicity and the ability of restraining noise.Considering traditional fuzzy entropy thresholding method without robust ability for image segmentation, new segmentation method of image based on parameterized fuzzy entropy is proposed in this paper.h is much better robust performance of segmenting image,and choosing proper parameter of fuzzy entropy it is capable of obtaining satisfactory segmentation quality of image.Experimental results show that the method of this paper is feasible.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第24期51-54,共4页
Computer Engineering and Applications
基金
陕西省教育厅资助科研课题(the Research Project of Department of Education of Shaanxi Province
China under Grant No.06JK194)
关键词
图像分割阈值法参数型模糊熵隶属函数
image segmentation
thresholding method
parameterized fuzzy entropy
friendship function
