Accurate counting of leukocytes is an important method for diagnosing human blood diseases. Because most nuclei of neutrophils and eosinophils are polylobar, it is easily confused with the unilobar nuclei in nucleus segmentation. Therefore, it is very essential to accurately identify and determine the polylobar leukocytes. In this paper, a polylobar nucleus identification and extracting method is proposed. Firstly, by using the Otsu threshold and area threshold method, the nuclei of leukocytes are accurately segmented. According to the morphological characteristics of polylobar leukocytes, the edges of the mitotic polylobar leukocytes are detected, and the numbers of polylobar leukocytes are determined according to the minimal distance rule. Therefore, the accurate counting of leukocytes can be realized. From the experimental results, we can see that using the Otsu method and the area threshold to segment the polylobar nuclear leukocytes, the segmentation ratio of the leukocyte nucleus reached 98.3%. After using the morphological features, the polylobar nuclear leukocytes can be accurately counted. The experimental results have verified the feasibility and practicability of the proposed method.

中文翻译：

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一种用于白细胞计数的多叶核识别和提取方法

准确计数白细胞是诊断人体血液疾病的重要方法。由于中性粒细胞和嗜酸性粒细胞的细胞核大部分是多叶细胞核，在细胞核分割中很容易与单叶细胞核混淆。因此，准确识别和测定多叶白细胞是非常必要的。本文提出了一种多叶核的识别和提取方法。首先，利用大津阈值和面积阈值法，对白细胞的细胞核进行准确分割。根据多叶白细胞的形态特征，检测有丝分裂的多叶白细胞的边缘，根据最小距离规则确定多叶白细胞的数量。因此，可以实现白细胞的准确计数。从实验结果来看，可以看到，使用Otsu方法和面积阈值对多叶核白细胞进行分割，白细胞核的分割率达到了98.3%。使用形态特征后，可准确计数多叶核白细胞。实验结果验证了所提方法的可行性和实用性。