基于遗传算法的染色体医学图像处理研究

Chromosome Biomedicine Image Processing Based on Genetic Algorithm

生物医学图像的数字化处理是医学领域中的一个重要的发展方向。其中染色体的自动分析是细胞遗传学研究中急需解决的问题,文中针对自动分析中的前期图像处理提出了基于遗传算法的染色体图像分割方法,该方法充分考虑了待分割染色体的数量及人类显带染色体被明暗交迭的带纹分割为若干不连续的片段等特点。从实验结果可以看出,此方法具有分割速度快、鲁棒性好等优点。

Biomedicine image is an important evolution direction of the digital image processing, and chromosome autoanalyzing is in dire need of solving in the cell genetic area. This paper proposed the segmentation of chromosome image method based on genetic algorithm, which calculates the amount and many broken pieces in one chromosome with bright and dark bands sufficiently. The experimental result demonstrates its superiority such as celerity and robust.