| 一种基于感兴趣区域提取的医学图像检索技术 |
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| 引用本文： | 王李冬,邰晓英,巴特尔. 一种基于感兴趣区域提取的医学图像检索技术[J]. 宁波大学学报(理工版), 2006, 19(4): 465-470 |
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| 作者姓名： | 王李冬 邰晓英 巴特尔 |
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| 作者单位： | 宁波大学,信息科学与工程学院,浙江,宁波,315211;内蒙古自治区医院,内蒙古,呼和浩特,010017 |
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| 摘 要： | 针对胸部CT扫描图像库，提出了一种基于感兴趣区域提取的图像检索方法．首先为了提取感兴趣区域，提出一种基于灰度层共现矩阵的区域增长算法，分割出病灶区域，再通过闽值算法进行边界的磨合，然后针对感兴趣区域提取形状和分布特性作为图像匹配准则的客观依据．最后，将该算法与其他底层特征算法进行比较和分析．实验结果表明，该算法能够比较有效地应用于基于内容的医学图像检索系统中．
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| 关 键 词： | 医学图像检索 感兴趣区域 纹理 区域增长法 阈值分割 |
| 文章编号： | 1001-5132(2006)04-0465-06 |
| 收稿时间： | 2005-10-13 |
| 修稿时间： | 2005-10-13 |
Medical Image Retrieval Technique Based on Extraction of Region of Interest |
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| WANG Li-dong,TAI Xiao-ying,BA Te-er. Medical Image Retrieval Technique Based on Extraction of Region of Interest[J]. Journal of Ningbo University(Natural Science and Engineering Edition), 2006, 19(4): 465-470 |
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| Authors: | WANG Li-dong TAI Xiao-ying BA Te-er |
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| Affiliation: | 1.Information Science and Engineering, Ningbo University, Ningbo 315211, China; 2.Neimenggu Hospital, Huhehaote 010017, China |
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| Abstract: | This paper presents a method of medical image retrieval technique based on extraction of region of interest. First of all, in order to extract the focus region, we propose a texture-based region growing algorithm and the threshold segmentation is applied to improve the edge of segmented region. Then we extract the shape and distribution features of the region of interest for image retrieval. At last, we compare this approach with the method of retrieval based on other features and make a detailed analysis in which the result indicates that the method discussed in this paper is much more effective. |
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| Keywords: | medical image retrieval regions of interest texture region growing algorithm threshold segmentation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
