基于局部加权拟合算法的医疗图像信息交互共享方法  

Medical Image Information Interactive Sharing System Based on Local Weighted Fitting Algorithm

作　　者：丁晓东 DING Xiao-dong(The Fifth People's Hospital Of Qinghai Provence,Xining 810007 China)

机构地区：[1]青海省第五人民医院,青海西宁810007

出　　处：《自动化技术与应用》2022年第7期101-104,共4页Techniques of Automation and Applications

摘　　要：为实现图像数据的自由流转,提高工作效率,提出基于局部加权拟合算法的医疗图像信息交互共享算法。利用Moravec算子提取图像广义特征点,建立初始匹配关系。采用局部加权拟合算法增加控制点,同时对这些点做三角联网,确保每个控制点都对应一个拟合结果,通过映射关系实现图像畸变点校正。引入语义指向性特征量化方式对共享图像进行编码,将图像发送到客户端。将上述方法引入到共享系统,从图像源管理、编码格式等主要模块确定系统功能,部署软件方案。仿真结果表明,所提方法改善图像质量,提高了系统吞吐量。In order to realize the free flow of image data and improve the work efficiency,an interactive sharing system of medical image information based on local weighted fitting algorithm is proposed.The Moravec operator is used to extract the generalized feature points and establish the initial matching relationship.The local weighted fitting algorithm is used to increase the control points.At the same time,these points are triangulated to ensure that each control point corresponds to a fitting result,and the image distortion point correction is realized through mapping relationship.The method of semantic directional feature quantization is introduced to encode the shared image and send the image to the client.The above methods are introduced into the sharing system,the overall structure of the system is designed,and the system functions are determined from the main modules of image source management and coding format,and the software scheme is deployed.Simulation results show that the proposed method improves image quality and system throughput.

关 键 词：局部加权拟合 医疗图像 信息交互共享 畸变校正 特征量化 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]