图像ROI选择及其应用研究  

Image ROI Selection and its Application

作　　者：李寿涛[1] 陈浩[1] 陈思[1] 李敬[1] 

机构地区：[1]中国工程物理研究院应用电子学研究所国家X射线数字化成像仪器中心,四川绵阳621900

出　　处：《CT理论与应用研究（中英文）》2014年第6期979-984,共6页Computerized Tomography Theory and Applications

摘　　要：在辐射成像应用中,DR及CT检测会产生大量的图像数据,对这些图像数据的处理涉及图像处理技术的方方面面。这些处理技术包括重建、可视化、图像增强、图像压缩和图像缺陷分析等。通常人们需要对图像中的特定区域(ROI)进行处理,并对图像上的ROI进行选择。ROI的确定,编辑是辐射成像图像处理的常用功能。本文介绍常用各种ROI,实现了这些ROI的勾画、编辑、选择等功能,并介绍了ROI与孔隙度计算及缺陷识别等应用的结合。In radiation imaging application, huge image data is produced in DR and CT imaging. Image processing methods used in this area include image reconstruction, visualization, image enhancement, image compression and image defects detection and etc. Often people need pinpoint some area in an image and process this area. These areas are called ROI（region of image）. The selection and edit of ROI is a functionality often used in radiation image processing. Various ROIs and applications are introduced in this article.

关 键 词：图像特定区 辐射成像 图像压缩 图像增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]