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Optical Engineering

Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique
Author(s): Yana Guan; Qingli Li; Hongying Liu; Ziqiang Zhu; Yiting Wang
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Paper Abstract

White blood cells (WBC) are comparatively significant components in the human blood system, and they have a pathological relationship with some blood-related diseases. To analyze the disease information accurately, the most essential work is to segment WBCs. We propose a new method for pathological WBC segmentation based on a hyperspectral imaging system. This imaging system is used to capture WBC images, which is characterized by acquiring 1-D spectral information and 2-D spatial information for each pixel. A spectral information divergence algorithm is presented to segment pathological WBCs into four parts. In order to evaluate the performance of the new approach, K-means and spectral angle mapper-based segmental methods are tested in contrast on six groups of blood smears. Experimental results show that the presented method can segment pathological WBCs more accurately, regardless of their irregular shapes, sizes, and gray-values.

Paper Details

Date Published: 7 May 2012
PDF: 8 pages
Opt. Eng. 51(5) 053202 doi: 10.1117/1.OE.51.5.053202
Published in: Optical Engineering Volume 51, Issue 5
Show Author Affiliations
Yana Guan, East China Normal Univ. (China)
Qingli Li, East China Normal Univ. (China)
Hongying Liu, East China Normal Univ. (China)
Ziqiang Zhu, East China Normal Univ. (China)
Yiting Wang, East China Normal Univ. (China)

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