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Sensors 2015, 15(9), 22561-22586; doi:10.3390/s150922561

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

1
School of Information Science and Engineering, Shandong University, Jinan 250100, China
2
Department of Nephropathy, Qilu Hospital of Shandong University, Jinan 250012, China
3
Department of Oncology, the Second Hospital of Shandong University, Jinan 250033, China
4
Department of Hematology, the Second Hospital of Shandong University, Jinan 250033, China
*
Author to whom correspondence should be addressed.
Academic Editor: Alexander Star
Received: 14 March 2015 / Accepted: 25 August 2015 / Published: 8 September 2015
(This article belongs to the Section Biosensors)
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Abstract

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. View Full-Text
Keywords: segment; white blood cells; peripheral blood and bone marrow; different lights; mean shift clustering; C channel component; nucleus mark watershed operation; morphological operations segment; white blood cells; peripheral blood and bone marrow; different lights; mean shift clustering; C channel component; nucleus mark watershed operation; morphological operations
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Liu, Z.; Liu, J.; Xiao, X.; Yuan, H.; Li, X.; Chang, J.; Zheng, C. Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering. Sensors 2015, 15, 22561-22586.

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