摘要
提出了一种新的颜色特征函数,将其提取出的特征与最大熵原则ICM(iterated conditional modes)方法结合进行可视人彩色图像的分割,实验结果表明本文分割出的脑部组织和颅骨效率高、误分率低.
The paper presents a novel color characteristic function, and then makes a combination of the features extracted by the function and the maximum entropy ICM method; finally, the application of the method to the color Visible Human Project image. The experimental results show the proposed approach in this paper is efficient and accurate in segmentation of the cerebrum and skull.
出处
《河南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第4期41-43,共3页
Journal of Henan Normal University(Natural Science Edition)
基金
国家自然科学基金(60673100/F020106)
关键词
HVP
彩色图像
颜色特征函数
最大熵
ICM方法
Visible Human Projects color images color feature function~ maximum entropy ICM method
