Author/Authors :
Li, Yan University of Chinese Academy of Sciences - 52 Sanlihe Road - Beijing, China , Zhu, Rui Xi’an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences - Xi’an, China , Mi, Lei Xi’an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences - Xi’an, China , Cao, Yihui University of Chinese Academy of Sciences - 52 Sanlihe Road - Beijing, China , Yao, Di Shenzhen Vivolight Medical Device and Technology Co., Ltd - Shenzhen, China
Abstract :
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 segmentation part, a dual-threshold method is proposed for improving the
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.
The proposed method was tested in segmenting the lymphoblasts on a public Acute Lymphoblastic Leukemia (ALL) image dataset.
The results show that the performance of the proposed method is better than single-threshold approach independently performed
in RGB and HSV color space and the overall single WBC segmentation accuracy reaches 97.85%, showing a good prospect in
subsequent lymphoblast classification and ALL diagnosis.
