| 改进分水岭医学图像分割方法的研究 |
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| 引用本文： | 汪国强,曲晶莹. 改进分水岭医学图像分割方法的研究[J]. 计算机工程与应用, 2013, 49(8): 185-187 |
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| 作者姓名： | 汪国强 曲晶莹 |
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| 作者单位： | 黑龙江大学 电子工程学院，哈尔滨 150080 |
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| 摘 要： | 针对分水岭分割算法极易出现过分割现象这一弊端，对传统分水岭算法进行了改进，提出了一种新的基于阈值标记法的分水岭医学图像分割方法。其中采用最大熵阈值法来提取图像内部标记，对内部标记进行分水岭变换得外部标记。用内、外标记修正原始梯度图并作分水岭变换，所得的图为最终的分割图。实验发现，该方法对于抑制过分割是有效的。
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| 关 键 词： | CT图像 最大熵阈值 标记 分水岭分割 |
Improved watershed medical image segmentation method research |
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| WANG Guoqiang,QU Jingying. Improved watershed medical image segmentation method research[J]. Computer Engineering and Applications, 2013, 49(8): 185-187 |
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| Authors: | WANG Guoqiang QU Jingying |
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| Affiliation: | Collge of Electronic Engineering, Heilongjiang University, Harbin 150080, China |
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| Abstract: | The watershed segmentation algorithm is very easy to appear the phenomenon of excessive partition of this malpractice, the traditional watershed algorithm is improved. This paper puts forward a new watershed method for medical image segmentation based on threshold marking. The maximum entropy threshold method is used to extract the internal marker, and watershed transform is used on internal markers to get external marker. It modifies gradient map with internal and external marker maps and uses watershed transform on the modified gradient map, and the figure is the final segmentation graph. The experiment shows that the method for inhibiting the over segmentation is effective. |
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| Keywords: | CT image maximum entropy threshold marking watershed segmentation |
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