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组织细胞图像简易分割方法的研究
Study on Tissue Cell Image Facile Segmentation
【摘要】 组织细胞图像分割是计算机视觉细胞追踪系统的基本问题和细胞图象识别所必需的步骤。介绍了分割的分步策略及方法 ,首先是作近似区域的分割 ,分割出含有选择细胞和一部分细胞周围背景的大致区域 ;然后再对近似区域作进一步的分割 ,即从近似区域中分割出所要选择的细胞图象。提出的方法结合了前人方法的优点 ,能有效降低周围背景灰度和细胞区域纹理对对分割结果的影响。结果表明这种方法易于实现对组织细胞图像的分割。
【Abstract】 The segmenting method of cell and tissues images is a main problem of computer vision-based cell tracking system. The segmenting methods with distributing strategy, is used in this paper. The first stage which extracting an approximate region containing the cell and part of the background near the cell, and then, segmenting the cell from the background within this region. The approach effectively reduces the influence of peripheral background intensities texture on the extraction of a cell region. The experimental results show that this approach for segmenting cell images is facile.
- 【文献出处】 四川大学学报(工程科学版) ,JOURNAL OF SICHUAN UNIVERSITY (ENGINEERING SCIENCE EDITION) , 编辑部邮箱 ,2000年05期
- 【分类号】R445
- 【被引频次】9
- 【下载频次】103