摘要
为了克服传统基于ROI的压缩方法提高不了含有狭长的不规则ROI图像的压缩比等缺点,提出一种基于ROI区域生长的医学图像压缩方法。该方法使用区域生长的方法,将医学图像的ROI分割提取后,对ROI和非感兴趣区域(RONI)采用无损和有损相结合的方法,较好地解决了医学图像的高压缩比和高质量的矛盾,缩短了压缩时间。同时该方法还提供了良好的人机交互方式,便于操作,并能够很好地适用于其他场合的压缩。
To overcome the shortcomings in traditional methods using ROI compression for medical image, such as not able to increase compression ratio in medical image with irregular long and narrow ROI （region of interest） ,a novel method of compression for medical image ROI using region growing is proposed in this paper. This method segments and extracts ROI of medical image with region growing method,and then processes ROI and RONI （region of none interest） in lossless and lossy combined way,which properly resolved the problem in medical image of either high compression ratio or high quality, and shortens the compression time. Meanwhile,it provides a good human-computer interface, and is convenient in operation, suitable for other compression occasions.
出处
《计算机应用与软件》
CSCD
2009年第3期26-28,共3页
Computer Applications and Software
基金
国家自然科学基金项目(60673092)
