摘要
鼓膜穿孔图像的边缘分析是确定鼓膜穿孔破损百分率的根本依据。针对利用耳内窥镜采集的图像特点,从实用角度出发,设计滑动小窗口来搜索初始特征点,提出一种基于色差分析指导的自适应边缘跟踪方法,实现了图像边缘特征点的全自动定位。实验表明,该方法快速而有效。
Basically depends on the results of the processing and analysis of the perforation of eardrum images, the computer can determine the damage degree and the diagnosis criterion of the perforation of eardrum. On the basis of aiming at the characteristics of images of the perforation of eardrum,we present a practical approach. A little window slider is used to search the initial characteristic points, by combining of edge detection and edge points,we put forward a colors-analysis-based self-adaptive method to trace the edge of the image. The experimenal results show that this approach is fast and effective.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第4期56-57,92,共3页
Computer Applications and Software
基金
浙江省教育厅科研项目"计算机鼓膜穿孔诊断软件系统"(项目编号20040121)。
关键词
鼓膜穿孔
图像处理
图像分析
边缘跟踪
Perforation of eardrum Image processing Image analysis Edge tracking
