Segmentation of White Blood Cell from Acute Lymphoblastic Leukemia Images Using Dual-Threshold Method

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 furthe...

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Bibliographic Details
Published in:Computational and mathematical methods in medicine 2016-01, Vol.2016 (2016), p.1-12
Main Authors: Cao, Yihui, Mi, Lei, Zhu, Rui, Li, Yan, Yao, Di
Format: Article
Language:English
Subjects:
Algorithms
Color
Computer Simulation
Diagnosis, Computer-Assisted - methods
Humans
Image Processing, Computer-Assisted - methods
Leukocyte Count
Leukocytes - cytology
Lymphocytes - cytology
Models, Theoretical
Pattern Recognition, Automated
Precursor Cell Lymphoblastic Leukemia-Lymphoma - blood
Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnostic imaging
Software
User-Computer Interface
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Description
Summary: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.
ISSN:1748-670X
1748-6718
DOI:10.1155/2016/9514707