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一种基于数据融合的医学图像分割方法
引用本文:于水,马范援.一种基于数据融合的医学图像分割方法[J].计算机辅助设计与图形学学报,2001,13(12):1073-1076.
作者姓名:于水  马范援
作者单位:上海交通大学计算机科学与工程系,上海,200237
摘    要:针对一类纹理特征明显的医学图像,提出了一种融合纹理信息和灰度信息的图像分割方法,设计了基于金字塔结构的区域增长分割算法,该方法在区域内部结合使用纹理信息和灰度信息,在区域边缘部分则充分利用灰度信息,计算结果表明,该方法对某一类医学图像能够获得较好的分割效果。

关 键 词:图像分割  数据融合  图像处理  图像分析  计算机  医学
修稿时间:2000年10月24

Medical Image Segmentation Method Based on Information Fusion
YU Shui,MA Fan-Yan.Medical Image Segmentation Method Based on Information Fusion[J].Journal of Computer-Aided Design & Computer Graphics,2001,13(12):1073-1076.
Authors:YU Shui  MA Fan-Yan
Abstract:A new method for medical image segmentation with adequate texture information is proposed, in which texture and gray variation information were integrated. A pyramid data structure-based region growing algorithm was designed and applied to medical image segmentation. In this algorithm, the combination of texture information and gray variation information was implemented inside the region. Meanwhile, the former was mainly used near the edge of region. The experimental result shows that this method can produce good segmentation result when applied to certain medical images.
Keywords:image segmentation  data fusion  region growing
本文献已被 CNKI 维普 万方数据 等数据库收录!
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