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| 基于边界和模糊集理论的三维图像分割 | |
| 引用本文： | 罗立民 鲍旭东. 基于边界和模糊集理论的三维图像分割[J]. 电子学报, 1995, 23(9): 106-108,121 |
| 作者姓名： | 罗立民 鲍旭东 |
| 作者单位： | 东南大学生物科学与医学工程系图象研究室 |
| 摘 要： | 本文提出了一种基于边界和模糊集理论的三维图象分割方法，利用高斯－拉普拉斯算子检测出图象中各结构的边界后，通过区域增长获取感光趣结构的三维二值模板，由高斯－拉普拉斯图象和二值模板出发，利用模糊集理论，确定感兴趣结构的三维模糊模板，从而达到在体积图象中分割出感兴趣结构的目的。 |
| 关 键 词： | 图象分割 模糊集 边界 医学图象 核磁共振成像 |
Three-Dimensional Image Segmentation Based on Edge and Fuzzy Set Theory |
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| Luo Limin, Bao Xudong, Xie Xiaohua, Tian Xueqing. Three-Dimensional Image Segmentation Based on Edge and Fuzzy Set Theory[J]. Acta Electronica Sinica, 1995, 23(9): 106-108,121 | |
| Authors: | Luo Limin Bao Xudong Xie Xiaohua Tian Xueqing |
| Abstract: | This paper presents a three-dimensional image segmentaion method based on edge and fuzzy set theory. By using a Gauss-Laplacian operator,the edges of structures in the image are detected,then a region growing is applied to obtain the 3D binary mask of the volume of interest. From the Gauss-Laplacian image and the mask,the 3D fuzzy mask is determined and the volume of interest is then extracted. |
| Keywords: | Image segmentation Fuzzy set Edge detection |
| 本文献已被 CNKI 维普 等数据库收录！ | |