摘要
为取得良好的图像分割效果,利用局部模糊方差区分过渡区与背景区的差异,提出了一种基于局部模糊方差的图像过渡区提取方法并用于图像的分割.首先将利用模糊集构造模糊方差的方法拓展到二维图像的情形,进而利用局部模糊方差构造过渡区.在此基础上通过多阈值的选择方法在过渡区上确定阈值,最后将其用于图像分割.实验结果表明所提方法具有较强的鲁棒性,并能取得良好的分割效果.
To obtain a favorable segmented result of an image, a transition region method, based on the difference of local fuzzy variance between transition region and background, was proposed and used for image segmentation. First, the method to construct fuzzy variance based on fuzzy set was extended to the case of two dimensional image; second, a transition region was obtained by the local fuzzy variance; and at last the final segmented result was acquired by a multi-threshold selecting method. Experimental results show that the proposed method is robust and it can provide satisfactory segmented result.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2007年第5期386-389,共4页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金资助(60572048
60475024)
Research on Grants Council of the HongKong SAR(Project No.PolyU5153/04E)
关键词
图像分割
过渡区
局部模糊方差
阈值
image segmentation
transition region
local fuzzy variance
threshold
