摘要
提出一套原生和后生动物提取计划,通过对微生物显微图像进行Gamma均衡、滤波、聚类及最大无关检测,最终实现对微生物显微图像中原生和后生动物的自动提取.
This paper presents a protozoan parasite extraction scheme,including gray-level transformation,gamma equalization,median-mean filter,two-class edge enhancement,two-means clustering operation,morphological opening operation and largest connected component detection.Experiments show that the proposed approach can automatically extract protozoan parasite from the microscopic images.
出处
《云南大学学报（自然科学版）》
CAS
CSCD
北大核心
2010年第S2期33-37,共5页
Journal of Yunnan University(Natural Sciences Edition)
基金
云南省科技计划资助项目(2009CA0210)
关键词
数字图像处理
显微图片
Gamma均衡
聚类
目标提取
digital image processing
microscopic image
Gamma balance
clustering
automatic extraction
