摘要
根据医学显微图像对象多、背景复杂、有许多干扰和噪声、目标深浅不一致、反衬度较小等特点,为有效分割出显微图像中的目标物体,在比较了各种分割方法的效果后,提出了基于类间方差最大法的自适应阈值分割算法,从而有效地改善了显微图像分割的效果。
It＇s very difficult segment the medical microscopic image for its features such as multi-objective, complicated background, abundant disturbances and noises, little contrast. After comparing the results of several segmentation arithmetics, this paper puts forward an OTSU-based self-adaptation threshold partition algorithm for effective segmentation of medical microscopic image.
出处
《医疗卫生装备》
CAS
2006年第3期22-24,共3页
Chinese Medical Equipment Journal
关键词
显微图像
自适应
类间方差
图像分割
microscopic image
self-adaptation
OTSU
image segmentation
作者简介
吴强辉，硕士，工程师，主要从事生物医学信号检测及图像处理方面的研究。
