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Segmentation of microscope images of living cells

机译:活细胞的显微镜图像分割

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摘要

This paper describes a segmentation method combining a texture based technique with a contour based method. The technique is designed to enable the study of cell behaviour over time by segmenting brightfield microscope image sequences. The technique was tested on artificial images, based on images of living cells and on real sequences acquired from microscope observations of neu-trophils and lymphocytes as well as on a sequence of MRI images. The results of the segmentation are compared with the results of the watershed and snake segmentation methods. The results show that the method is both effective and practical.
机译:本文描述了一种结合基于纹理的技术和基于轮廓的方法的分割方法。该技术旨在通过分割明视野显微镜图像序列来研究随时间变化的细胞行为。该技术在人造图像,活细胞图像以及从中性粒细胞和淋巴细胞的显微镜观察中获得的真实序列以及一系列MRI图像上进行了测试。将分割结果与分水岭和蛇形分割方法的结果进行比较。结果表明,该方法是有效和实用的。

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