Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering

Sensors

Zhi Liu¹  Jing Liu¹  Xiaoyan Xiao⁴  Hui Yuan¹  Xiaomei Li²  Jun Chang¹  Chengyun Zheng³ 

[1] School of Information Science and Engineering, Shandong University, Jinan 250100, China; E-Mails:;Department of Oncology, the Second Hospital of Shandong University, Jinan 250033, China; E-Mail:;Department of Hematology, the Second Hospital of Shandong University, Jinan 250033, China;Department of Nephropathy, Qilu Hospital of Shandong University, Jinan 250012, China; E-Mail:

关键词: segment;    white blood cells;    peripheral blood and bone marrow;    different lights;    mean shift clustering;    C channel component;    nucleus mark watershed operation;    morphological operations;   

DOI  :  10.3390/s150922561

来源: mdpi

【 摘 要 】

This paper presents a novel method for segmentation of white blood cells (WBCs) in peripheral blood and bone marrow images under different lights through mean shift clustering, color space conversion and nucleus mark watershed operation (NMWO). The proposed method focuses on obtaining seed points. First, color space transformation and image enhancement techniques are used to obtain nucleus groups as inside seeds. Second, mean shift clustering, selection of the C channel component in the CMYK model, and illumination intensity adjustment are employed to acquire WBCs as outside seeds. Third, the seeds and NMWO are employed to precisely determine WBCs and solve the cell adhesion problem. Morphological operations are further used to improve segmentation accuracy. Experimental results demonstrate that the algorithm exhibits higher segmentation accuracy and robustness compared with traditional methods.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.