摘要
在随机选用了互联网脑部CT图像和医学教育网基础医学理论部分的肝硬化CT图像的基础上,分析了图像数据信息,提出"一体化"法医学图像数据分析方法,对医学图像数据降噪、增强、融合和边缘检测进行了实验论证,与传统医学图像数据分析方法进行降噪实验比较,论证了"一体化"法处理医学图像的有效性。
Based on the random selection of CT images of the brain and the basic medical theory of the medical education network,the image data information was analyzed and the＂integrated＂forensic image data analysis method was proposed.The experimental demonstration of the noise reduction,enhancement,fusion and edge detection of medical image data was conducted.Compared with the traditional medical image data analysis method,the effectiveness of the ＂integrated＂ method in processing medical images was demonstrated.
作者
王永飞
WANG Yongfei(Tongling Polyechnic, Tongling Anhui 244061 , China)
出处
《安徽广播电视大学学报》
2018年第2期125-128,共4页
Journal of Anhui Radio & TV University
基金
安徽省教育厅人文重点课题"基于互联网+的铜陵区域数字学习资源共享平台构建研究"(项目编号:SK2016A0941)
关键词
医学图像处理
“一体化”法
降噪
边缘检测
medical image processing
＂integrated＂ method
noise reduction
edge detection
