College of Electronic Information Engineering, Sichuan University, Chengdu, Sichuan 610064, China.
Comput Math Methods Med. 2021 Jul 22;2021:5565156. doi: 10.1155/2021/5565156. eCollection 2021.
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.
白细胞的准确计数是诊断人类血液疾病的重要方法。由于中性粒细胞和嗜酸性粒细胞的大多数核是多叶核，因此很容易与核分叶中的单叶核混淆。因此，准确识别和确定多叶核白细胞非常重要。本文提出了一种多叶核识别和提取方法。首先，通过使用 Otsu 阈值和面积阈值方法，准确地分割白细胞核。根据多叶核白细胞的形态特征，检测有丝分裂多叶核白细胞的边缘，并根据最小距离规则确定多叶核白细胞的数量。因此，可以实现白细胞的准确计数。从实验结果可以看出，使用 Otsu 方法和面积阈值对多叶核白细胞核进行分割，白细胞核的分割率达到 98.3%。使用形态特征后，可以准确地计数多叶核白细胞。实验结果验证了所提出方法的可行性和实用性。
