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| 数字化可视人体图像的目标提取 | |
| 引用本文： | 宁旭,张绍祥,谭立文,邱全光. 数字化可视人体图像的目标提取[J]. 第三军医大学学报, 2007, 29(16): 1549-1551 |
| 作者姓名： | 宁旭 张绍祥 谭立文 邱全光 |
| 作者单位： | 第三军医大学基础医学部物理学教研室,重庆,400038;第三军医大学基础医学部人体解剖学教研室,重庆市计算医学研究所,重庆,400038 |
| 摘 要： | 目的 探讨数字化可视人体图像的目标提取.方法 利用归一化阈值分割排除大部分背景,再结合边缘跟踪对目标边界附近保留的边缘特征进行识别、连接、去噪,构建一种准确、有效的目标提取算法.结果 基于边缘和阈值混合的分割技术有效地去除了数字化人体图像的背景.结论 通过与其他几种分割算法的比较,本计算法实际使用效果较好. |
| 关 键 词： | 目标提取 图像分割 薄层断层解剖 |
| 文章编号： | 1000-5404（2007）16-1549-03 |
| 修稿时间： | 2007-01-15 |
Background removal of visible digital images of human body |
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| NING Xu,ZHANG Shao-xiang,TAN Li-wen,QIU Quan-guang. Background removal of visible digital images of human body[J]. Acta Academiae Medicinae Militaris Tertiae, 2007, 29(16): 1549-1551 | |
| Authors: | NING Xu ZHANG Shao-xiang TAN Li-wen QIU Quan-guang |
| Affiliation: | 1.Department of Physics; 2.Department of Anatomy, College of Medicine, Third Military Medical University, Chongqing 400038, China |
| Abstract: | Objective To study on how to remove the background in the digital images of visible human body.Methods After removing most of the background with standardized thresholds segmentation,we did identification,connection and noise-removing work against the edge around the target verge,and then the results of these two methods were combined to get the final image.Results Complex segmentation technology based on edge and thresholds effectively removed the background in the image of human body.Conclusion Compared with other segmentation algorithm,the algorithm presented here has better practical effect. |
| Keywords: | background removal image segmentation thin sectional anatomy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |