一种弯曲染色体自动矫直算法

染色体的非刚性使其在成像时出现不可预测的形状和大小，将其直接进行核型分析会造成较大误差，而对染色体进行矫直，可提高核型分析的准确性。为解决弯曲染色体矫直的问题，提出了一种有效的矫直算法。该算法使用细化的方法提取弯曲染色体的中轴并对其进行修正，通过记录与中轴上点相邻的8个像素点，获得拟合直线及其中垂线，再将中轴按照像素点拉伸，拉伸过程中根据重叠区域像素的相对空间位置，将重叠区域的像素搬移到矫直图像上得到矫直染色体。对比3种矫直算法可知本算法可以较好地实现弯曲染色体的矫直。

Research on an Automatic Straightening Algorithm for Curved Chromosomes

The non-rigidity of the chromosome enables it to have unpredictable shape and size at the time of imaging. Directly performing chromosome classification and pairing would cause large errors and low efficiency, while the operation of the straightened chromosome could not only improve the accuracy and efficiency of classification and pairing, but also be conducive to the diagnosis of chromosomal abnormalities. In order to effectively solve the problem of curved chromosome straightening, an effective chromosome straightening algorithm was proposed, which could be used to straighten chromosomes with different degrees of curvature. The algorithm mainly used the refinement method to extract the central axis of the curved chromosome and correct it. By recording the adjacent 8 pixel points of the point on the central axis, the overlapping area of the vertical line of the fitted line and the original image was obtained, and then the central axis was followed. The pixel was stretched, and the pixels of the overlapping area were moved to the corrected chromosome picture according to the relative spatial position of the pixels in the overlapping area during the stretching process. By comparing the renderings of the three straightening algorithms, the method proved better realization of the straightening of curved chromosomes.