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Contour Based Segmentation of Chromosomes in G-Band Metaphase Images

机译:基于G频段中期图像中的染色体的等高分割

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Cytogenetics deals with the study of human chromosomes. This helps in detecting birth defects. Segmentation of overlapped chromosomes in metaphase images is very important in chromosome analysis. This becomes a complex task when more than one overlap occurs in the chromosomes mainly due to the non rigid nature of the chromosomes. This paper proposes an algorithm for identification of overlap zone which is the important step in segmentation of overlapping chromosomes without human intervention. Outer contour of the chromosomes is obtained including the overlapping zones. Then the curvature function is used to identify the concave and convex points. These concave points are used in finding the overlap zones. More than one overlap is identified correctly. G-band metaphase chromosome images are taken for analysis. The algorithm is robust. It is tested on more than 350 images with various number and degree of overlaps. The overall accuracy of the algorithm is 96%.
机译:细胞遗传学涉及人类染色体的研究。这有助于检测出生缺陷。中期图像中重叠染色体的分割在染色体分析中非常重要。当染色体中发生多于一个重叠时,这成为一个复杂的任务,主要是由于染色体的非刚性性质。本文提出了一种识别重叠区的算法,其是没有人干预的重叠染色体分割的重要步骤。获得包括重叠区域的染色体的外部轮廓。然后,曲率函数用于识别凹凸点。这些凹点用于查找重叠区域。正确识别多个重叠。 G频段中期染色体图像被用于分析。该算法是强大的。它在超过350个图像上进行测试,具有各种数量和程度的重叠程度。算法的整体精度为96%。

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