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Received:April 20, 2015 Revised:June 08, 2015
Received:April 20, 2015 Revised:June 08, 2015
中文摘要: 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.
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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吕敏,毛凤翔.人机交互信息引导的细胞图像分割.计算机系统应用,2016,25(1):234-237
LV Min,MAO Feng-Xiang.Cell Image Segmentation Directed by Human-Computer Interaction Information.COMPUTER SYSTEMS APPLICATIONS,2016,25(1):234-237
吕敏,毛凤翔.人机交互信息引导的细胞图像分割.计算机系统应用,2016,25(1):234-237
LV Min,MAO Feng-Xiang.Cell Image Segmentation Directed by Human-Computer Interaction Information.COMPUTER SYSTEMS APPLICATIONS,2016,25(1):234-237