Background: White Blood Cell (WBC) image segmentation plays a key role in cell morphology analysis. However, WBC segmentation is still a challenging task due to the diversity of WBCs under different staining conditions.

Objective: In this paper, we propose a novel WBC segmentation method based on color component combination and contour fitting to segment WBC images accurately.

Methods: Specifically, the proposed method first uses color component combination and image thresholding to achieve nucleus segmentation, then uses a color prior to remove image background, and extracts the initial WBC contour via Canny edge detection, and finally judges and closes the unclosed WBC contour by contour fitting. Accordingly, cytoplasm segmentation is achieved by subtracting the nucleus region from the WBC region.

Results: Experimental results on 100 WBC images under rapid staining condition and 50 WBC images under standard staining condition showed that the proposed method improved segmentation accuracy of white blood cells under rapid and standard staining conditions.

Conclusion: The proposed color component combination and contour fitting is effective in WBC segmentation task.

背景：白细胞（WBC）图像分割在细胞形态分析中起着关键作用。然而，由于在不同的染色条件下白细胞的多样性，白细胞的分割仍然是一项艰巨的任务。

目的：本文提出了一种新的基于颜色成分组合和轮廓拟合的白细胞分割方法，以准确地对白细胞图像进行分割。

方法：具体来说，该方法首先使用颜色成分组合和图像阈值化实现核分割，然后在去除图像背景之前使用颜色，并通过Canny边缘检测提取初始WBC轮廓，最后判断并关闭未闭合的WBC轮廓通过轮廓拟合。因此，通过从WBC区域减去细胞核区域来实现细胞质分割。

结果：在快速染色条件下100张WBC图像和标准染色条件下50张WBC图像的实验结果表明，该方法提高了快速和标准染色条件下白细胞的分割精度。

结论：提出的颜色成分组合和轮廓拟合在WBC分割任务中是有效的。