{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T09:19:45Z","timestamp":1772011185041,"version":"3.50.1"},"reference-count":24,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2014,9,1]],"date-time":"2014-09-01T00:00:00Z","timestamp":1409529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"name":"Science and Technology Development Plans of Shandong Province","award":["2012GGE27073"],"award-info":[{"award-number":["2012GGE27073"]}]},{"name":"Independent Innovation Foundation of Shandong University, IIFSDU","award":["2012JC015"],"award-info":[{"award-number":["2012JC015"]}]},{"name":"Independent Innovation Foundation of Shandong University, IIFSDU","award":["2012DX001"],"award-info":[{"award-number":["2012DX001"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["60902068"],"award-info":[{"award-number":["60902068"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s140916128","type":"journal-article","created":{"date-parts":[[2014,9,1]],"date-time":"2014-09-01T10:03:19Z","timestamp":1409565799000},"page":"16128-16147","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":116,"title":["White Blood Cell Segmentation by Color-Space-Based  K-Means Clustering"],"prefix":"10.3390","volume":"14","author":[{"given":"Congcong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Shandong University, Jinan 250100, China"}]},{"given":"Xiaoyan","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of nephrology, Qilu Hospital of Shandong University, Jinan 250012, China"}]},{"given":"Xiaomei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Oncology, the Second Hospital of Shandong University, Jinan 250100, China"}]},{"given":"Ying-Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Oncology, the Second Hospital of Shandong University, Jinan 250100, China"}]},{"given":"Wu","family":"Zhen","sequence":"additional","affiliation":[{"name":"Department of Oncology, the Second Hospital of Shandong University, Jinan 250100, China"}]},{"given":"Jun","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong University, Jinan 250100, China"}]},{"given":"Chengyun","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Hematology, the Second Hospital of Shandong University, Jinan 250100, China"}]},{"given":"Zhi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong University, Jinan 250100, China"}]}],"member":"1968","published-online":{"date-parts":[[2014,9,1]]},"reference":[{"key":"ref_1","unstructured":"Yang, Y., Zhang, Z.X., Yang, X.H., and Jiang, D.Z. 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