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医学图像感兴趣区域的提取
引用本文:薛凌云,潘庆丰.医学图像感兴趣区域的提取[J].杭州电子科技大学学报,2006,26(2):19-22.
作者姓名:薛凌云  潘庆丰
作者单位:1. 杭州电子科技大学自动化学院,浙江,杭州,310018;浙江大学生物医学工程与仪器科学学院,浙江,杭州,310027
2. 杭州电子科技大学自动化学院,浙江,杭州,310018
摘    要:提出了一种结合Watershed变换和融合ROI信息的单调推进Snake模型的感兴趣区域提取的新方法.通过非线性扩散滤波对原始图像进行平滑,利用Watershed算法对图像进行过度分割,采用Snake模型提取出感兴趣区域,并由ROI能量函数推导出区域速度函数项,与基于边界的速度函数融合,根据区域之间的统计特性的相似度,重新定义Snake模型的速度函数.实验表明,该方法能够精确地提取对比度低且细窄的ROI区域.

关 键 词:感兴趣区域  提取  医学图像
文章编号:1001-9146(2006)02-0019-04
收稿时间:2005-11-06
修稿时间:2005-11-06

Extraction of ROI in Medical Image
XUE Ling-yun,PAN Qing-feng.Extraction of ROI in Medical Image[J].Journal of Hangzhou Dianzi University,2006,26(2):19-22.
Authors:XUE Ling-yun  PAN Qing-feng
Affiliation:1. School of Automation, Hangzhou Dianzi University , Hangzhou Zhejiang 310018, China; 2. College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou Zhejiang 310027,China
Abstract:This paper focuses on the ROI(region of interest) extraction,which is one of the key problems in med-ical image processing.An efficient approach to ROI extraction based on the combination of watershed transformation and monotonically marching snake integrating ROI information is proposed.First,the original image is smoothed by using nonlinear diffusion filter.Then the smoothed image is over-segmented by the watershed algorithm.Finally,the ROI is extracted automatically by using the snake model.Moreover,the speed function is defined based on the statistical similarity degree of the regions and the ROI energy.Experimental results show that the algorithm can ob-tain segmentation result of medical image fast and accurately.
Keywords:region of interest  extraction  medical image
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