Name
Title | ||
|---|---|---|
Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering |
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3390/s150922561 | SENSORS |
Keywords | Field | DocType |
segment,white blood cells,peripheral blood and bone marrow,different lights,mean shift clustering,C channel component,nucleus mark watershed operation,morphological operations | Data mining,Nucleus,Scale-space segmentation,Color space,Pattern recognition,Segmentation,Robustness (computer science),Watershed,Electronic engineering,Artificial intelligence,Mean-shift,Engineering | Journal |
Volume | Issue | Citations |
15 | 9.0 | 7 |
PageRank | References | Authors |
0.56 | 16 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Liu | 1 | 23 | 14.28 |
| jing liu | 2 | 7 | 0.56 |
| Xiaoyan Xiao | 3 | 16 | 1.64 |
| Hui Yuan | 4 | 104 | 16.33 |
| Xiaomei Li | 5 | 16 | 1.65 |
| Jun Chang | 6 | 15 | 1.29 |
| Chengyun Zheng | 7 | 15 | 1.29 |