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数字医疗图像特征分割常用方法比较研究
引用本文:马旭.数字医疗图像特征分割常用方法比较研究[J].辽宁大学学报(自然科学版),2009,36(3):240-243.
作者姓名:马旭
作者单位:辽宁大学,计算中心,辽宁,沈阳,110036
摘    要:数字医疗图像与普通图像相比本质上具有模糊性和不均匀的特点,使得其特征及边缘提取成为临床医学应用及多媒体教学的瓶颈.依据数字口腔牙X线根尖片,对常用数字医疗图像特征分割方法进行实验、分析、比较,并给出总结,从而为进一步处理和分析奠定基础.

关 键 词:数字医疗图像  特征分割  阈值法  空域微分算子法  形态学法

Comparative Study on Traditional Methods of Digital Medical Image's Feature Segmentation
MA Xu.Comparative Study on Traditional Methods of Digital Medical Image''s Feature Segmentation[J].Journal of Liaoning University(Natural Sciences Edition),2009,36(3):240-243.
Authors:MA Xu
Institution:Computer Center of Liaoning University;Shengyang 110036;China
Abstract:Comparing with the ordinary image,the digital medical image is fuzzy and uneven.The feature segmentation and the edge extraction become the bottleneck of the medical application and multimedia teaching.This paper presents some experiment and analysis.After comparison,some summary to the traditional methods of digital medial image's feature segmentation are given,laid the foundation for the further processing and analysis.
Keywords:Digital medical image  Feature segmentation  Threshold segmentation  Spatial differential operator method  morphology method    
本文献已被 CNKI 维普 万方数据 等数据库收录!
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