title: White blood cell segmentation by color-space-based k-means clustering.
abstract: White blood cell (WBC) segmentation, which is important for cytometry, is a challenging issue because of the morphological diversity of WBCs and the complex and uncertain background of blood smear images. This paper proposes a novel method for the nucleus and cytoplasm segmentation of WBCs for cytometry. A color adjustment step was also introduced before segmentation. Color space decomposition and k-means clustering were combined for segmentation. A database including 300 microscopic blood smear images were used to evaluate the performance of our method. The proposed segmentation method achieves 95.7% and 91.3% overall accuracy for nucleus segmentation and cytoplasm segmentation, respectively. Experimental results demonstrate that the proposed method can segment WBCs effectively with high accuracy.
authors.affiliation: School of Information Science and Engineering, Shandong University, Jinan 250100, China. zhangcongcong@mail.sdu.edu.cn.
authors.forename: Congcong
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Department of nephrology, Qilu Hospital of Shandong University, Jinan 250012, China. xiaoyanxiao2007@163.com.
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: Xiao
authors.affiliation: Department of Oncology, the Second Hospital of Shandong University, Jinan 250100, China. sdulixiaomei@163.com.
authors.forename: Xiaomei
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Oncology, the Second Hospital of Shandong University, Jinan 250100, China. lz505@163.com.
authors.forename: Ying-Jie
authors.initials: YJ
authors.lastname: Chen
authors.affiliation: Department of Oncology, the Second Hospital of Shandong University, Jinan 250100, China. qinghuanjn@gmail.com.
authors.forename: Wu
authors.initials: W
authors.lastname: Zhen
authors.affiliation: School of Information Science and Engineering, Shandong University, Jinan 250100, China. changjun@sdu.edu.cn.
authors.forename: Jun
authors.initials: J
authors.lastname: Chang
authors.affiliation: Department of Hematology, the Second Hospital of Shandong University, Jinan 250100, China. zhengzhengwei@hotmail.com.
authors.forename: Chengyun
authors.initials: C
authors.lastname: Zheng
authors.affiliation: School of Information Science and Engineering, Shandong University, Jinan 250100, China. liuzhi@sdu.edu.cn.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D003116:Color; D006801:Humans; D019044:Image Cytometry; D007091:Image Processing, Computer-Assisted; D007958:Leukocyte Count; D007962:Leukocytes / Q000166:cytology*