| 人机交互信息引导的细胞图像分割 |
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| 引用本文： | 吕敏,毛凤翔. 人机交互信息引导的细胞图像分割[J]. 计算机系统应用, 2016, 25(1): 234-237 |
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| 作者姓名： | 吕敏 毛凤翔 |
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| 作者单位： | 信阳师范学院华锐学院数计系, 信阳 464000,信阳师范学院华锐学院数计系, 信阳 464000 |
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| 摘 要： | 针对细胞图像对比度低,胞间粘连等特点,提出利用计算机和人的模式识别能力相结合完成细胞图像分割的方法.采用人机交互获取动态阈值并以不同颜色形象标示分割结果.与Otsu法、Kapur法、Niblack法等方法相比,新方法操作简便、分割效果好,具有较好的使用价值.
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| 关 键 词： | 细胞分割 动态阈值 人机交互 |
| 收稿时间： | 2015-04-20 |
| 修稿时间： | 2015-06-08 |
Cell Image Segmentation Directed by Human-Computer Interaction Information |
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| LV Min and MAO Feng-Xiang. Cell Image Segmentation Directed by Human-Computer Interaction Information[J]. Computer Systems& Applications, 2016, 25(1): 234-237 |
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| Authors: | LV Min and MAO Feng-Xiang |
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| Affiliation: | Department of Mathematics and Computer Science, Huarui College, Xinyang Normal University, Xinyang 464000, China and Department of Mathematics and Computer Science, Huarui College, Xinyang Normal University, Xinyang 464000, China |
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| Abstract: | Considering the low contrast and cell adhesion of cell image, this paper proposes a method to combine the pattern recognition ability of both computer and the human to complete cell image segmentation. It takes human-computer interaction to obtain dynamic threshold and shows the result with different colors. Experimental results show that it has the advantages of easy operation, good segmentation, with better usage value compared with the Otsu method, Kapur method and Niblack method. |
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| Keywords: | cell segmentation dynamic threshold human-computer interaction |
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