|本期目录/Table of Contents|

 便携式医用 Χ光机图像拼接技术研究 (PDF)

《电子设计工程》[ISSN:1674-6236/CN:61-1477/TN]

期数:
 2010年03期
页码:
 21-23
栏目:
 计算机技术应用
出版日期:
 2010-03-05

文章信息/Info

Title:
 Research of portable medical X-ray image mosaic technology
作者:
 王辉 曾光宇 吕玉琴
 中北大学信息与通信工程学院,电子测试技术国家重点实验室,山西太原030051
Author(s):
 WANG HuiZENG Guang-yuLV Yu-qin
 National Key Laboratory For Electronic Measurement Technology,College of Information and Communication Engineering,North University of China,Taiyuan030051,China
关键词:
 便携式医用X光机图像拼接图像配准
Keywords:
 portable medical X-ray systemimage mosaicimage registratio
分类号:
 TP391.91
DOI:
 -
文献标识码:
 A
摘要:
 为了使医生能清楚地观察到人体各部位的完整图像,提高诊断的精确度,需要对X光机所获得的局部人体图像进行拼接处理。在简要介绍2幅相邻图像拼接的基本原理的基础上,着重研究基于灰度相关配准中的比值匹配法。利用2列像素及其所包含的区域信息,通过获取模板及计算最小差值寻找最佳匹配值,并在匹配完成的基础上采用淡入淡出方法对图像进行平滑拼接,以增强拼接效果。软件仿真结果表明,此种方法具有很好的实用性,配准成功率很高,同时能兼顾配准速度,拼接后的图像中间无明显的拼接缝隙,效果显著。
Abstract:
 In order to help physicians clearly observe the whole picture of every parts of the body,improving the diagnostic accuracy,it is necessary to do image mosaic processing for local human image obtained by X-ray machine.On the basis of brief introducing the principles of two adjacent image mosaic,it focuses on the ratio matching method which is based on the gray correlation matching,using two pixels and their regional information,through accessing the template and calculating the minimum margin to find the best match.On the basis of matching,the fade-in fade-out method is used to realize the image smoothing mosaic to enhance the matching effect.The software simulation results show that this method has good practicali-ty,high successful matching rate,and takes the matching speed into account,there is no obvious splicing gap in the matching image,the effect is very significant.

参考文献/References

 [1]罗会信,李亚锋.一种基于图形界面的快速图像拼接算法[J].湖北工学院学报,2003(2):24-26.
[2]沈项军,李峰,陈金华.一种基于特征跟踪的彩色序列图像拼接方法[J].微型电脑应用,2003(3):39-41.
[3]Gumustekin S,Hall R W.Mosaic image generation on a flatten- ed paussian sphere[J].In Proc.of IEEE Workshop on Applications of Computer Vision,1996:50-55.
[4]陶波,于志伟,郑筱祥.图像的自动拼接[J].中国生物医学工程学报,1997,16(4):316-322.
[5]丁迎,洪继光.图像拼接中伪匹配的判断和消解[J].中国图像图形学报,1999,4A(10):886-890.
[6]王志社,陈树越.基于光锥耦合的数字X射线成像系统研究[D].太原:中北大学,2007.
[7]高应俊.纤维光锥与CCD相机的耦合研究[J].光子学报,1999,28(10):947-950.
[8]Park M,Jin J,Wilson L.Fast content-based image retrieval using quasi-Gabor filter and reduction of image feature[C].5th IEEE Southwest Symposium on Image Analysis and Interpretation,2002:178-182.
[9]刘德明.光纤技术及其应用[M].成都:电子科大出版社,1994.
[10]郑苹,王耀青.基于数字图像的颗粒细度检测系统的改进[D].武汉:武汉科技大学,2005.

备注/Memo

备注/Memo:
 收稿日期:2009-09-27稿件编号:200909094作者简介:王辉(1984—),女,安徽宿州人,硕士研究生。研究方向:信号检测。
更新日期/Last Update:  2010-03-05