LIVE CELL IMAGE SEGMENTATION
LIVE CELL IMAGE SEGMENTATION
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DOI：
10.1109/10.362924
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发表时间：
1995-01-01
影响因子：
4.6
通讯作者：
LEVINE, MD
中科院分区：
文献类型：
--
作者：
WU, KN;GAUTHIER, D;LEVINE, MD
一个自动化的、实时的、基于计算机视觉的细胞跟踪系统的主要要求是一种有效的细胞图像分割方法。文献中提出的通常的分割算法在活体未染色的细胞图像上表现出较弱的性能，其特征是低对比度、强度变化和光照不均匀。本文提出了一种两阶段分割策略：首先提取包含细胞和细胞附近部分背景的近似区域，然后将细胞从该区域内的背景中分割出来，该方法有效地降低了周围背景强度和纹理对细胞区域提取的影响。实验结果表明，该方法对细胞图像的分割具有快速和鲁棒性。，
A major requirement of an automated, real-time, computer vision-based cell tracking system is an efficient method for segmenting cell images, The usual segmentation algorithms proposed in the literature exhibit weak performance on live unstained cell images, which can be characterized as being of low contrast, intensity-variant, and unevenly illuminated. We propose a two-stage segmentation strategy which involves: If extracting an approximate region containing the cell and part of the background near the cell, and 2) segmenting the cell from the background within this region, The approach effectively reduces the influence of peripheral background intensities and texture on the extraction of a cell region The experimental results show that this approach for segmenting cell images is both fast and robust. ,