【摘要】 显微图像定量分析已广泛用于病理诊断、病理管理系统、癌变分级分类等多方面的医学研究领域。细胞区分割提取是一个重要技术， 直接关系诊断的可靠性。本文就从病理切片的彩色图像中提取细胞核的有关方法作了研究， 提出了有效的分割方法和策略。该方法以数学形态学为主要工具， 可以利用细胞的多个特征 （灰度、梯度、彩色、纹理等） 较好地解决了病理显微图像背景复杂、光照不均及粘连团聚现象等因素给分割带来的困难更多还原

【Abstract】 An image segmentation processing for complicated color cell images is described. The mthod is based on a mathematical morphological region growing algorithm that makes use of complex features of a cell: grey level, gradients, color, and texture features. The problems and difficulty that the background of pathological microimages are complicated, illumination is not homogeneous, and there are adhesion and clustering, which make segmentation of the images difficult, can be dealt with in a better way.更多还原