Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine Volume 2016, Article ID 9514707, 12 pages http://dx.doi.org/10.1155/2016/9514707 Research Article Segmentation of White Blood Cell from Acute Lymphoblastic Leukemia Images Using Dual-Threshold Method Yan Li,1,2 Rui Zhu,1 Lei Mi,1 Yihui Cao,1,2 and Di Yao3 1 State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi’an 710119, China 2University of Chinese Academy of Sciences, 52 Sanlihe Road, Beijing 100864, China 3Shenzhen Vivolight Medical Device and Technology Co., Ltd., Shenzhen 518000, China Correspondence should be addressed to Yan Li;
[email protected] Received 30 December 2015; Revised 7 April 2016; Accepted 21 April 2016 Academic Editor: Jayaram K. Udupa Copyright © 2016 Yan Li et al. 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. We propose a dual-threshold method based on a strategic combination of RGB and HSV color space for white blood cell (WBC) segmentation. The proposed method consists of three main parts: preprocessing, threshold segmentation, and postprocessing. In the preprocessing part, we get two images for further processing: one contrast-stretched gray image and one H component image from transformed HSV color space. In the threshold segmentationpart,adual-thresholdmethodisproposedforimprovingthe conventional single-threshold approaches and a golden section search method is used for determining the optimal thresholds. For the postprocessing part, mathematical morphology and median filtering are utilized to denoise and remove incomplete WBCs.