一种血液白细胞多叶核的分割判定方法

A Segmentation Method for Lobulated Nucleus of Blood Leukocytes

血液白细胞的准确计数对诊断血液疾病非常重要,其中白细胞核分割的准确性是正确判定血液白细胞类别的重要预处理步骤。不同的染色条件和不同的照明条件下,血液白细胞的B分量和G分量存在明显的差值,基于Otsu方法阈值处理和面积阈值处理后进行准确的白细胞核分割。通过建立数学模型,基于形态学特征对完整核白细胞和多叶核白细胞进行分类判定,对存在有丝分裂的多叶核白细胞核进行边缘检测,根据最大最小距离判定多叶核白细胞个数,以实现对血液白细胞的准确计数。实验结果验证了所提分割判定方法的可行性和实用性。

The accurate count of blood leukocytes is very important for the diagnosis of blood diseases,and the accuracy of blood leukocyte segmentation is an important pretreatment step to correctly determine the type of blood leukocytes. The B component and G component of blood leukocytes have obvious difference under different staining conditions and different lighting conditions. Accurate blood leukocyte segmentation is performed based on Otsu threshold processing and area threshold processing. Through the establishment of mathematical model,based on the morphological characteristics of intact leukocytes and lobulated nucleus leukocytes are classified and judged. The edge detection of lobulated leukocytes with mitosis is carried out,and the number of lobulated leukocytes is determined according to the maximum and minimum distance,so as to realize the accurate counting of blood leukocytes. Experimental results verify the feasibility and practicability of the proposed segmentation method.