Iterative thresholding for segmentation of cells from noisy images
Iterative thresholding for segmentation of cells from noisy images
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DOI：
10.1046/j.1365-2818.2000.00653.x
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发表时间：
2000-03-01
期刊：
影响因子：
--
通讯作者：
Gil, J
中科院分区：
文献类型：
--
作者：
Wu, HS;Barba, J;Gil, J
我们介绍了一种迭代阈值算法的细胞从嘈杂的细胞图像的分割。阈值图像，这是最初的常数，迭代地改变与先前的分割和图像局部活动。合成和真实的细胞图像的实验结果证明了该算法的性能。
We introduce an iterative thresholding algorithm for the segmentation of cells from noisy cell images. The thresholding image, which is initially a constant, changes iteratively with both the previous segmentation and image local activity. Experimental results for both synthesized and real cell images are provided to demonstrate the performance of the algorithm.