Imaging Systems

Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique

[+] Author Affiliations
Yana Guan

East China Normal University, Key Laboratory of Polar Materials and Devices, School of Information Science and Technology, Shanghai 200241, China

Qingli Li

East China Normal University, Key Laboratory of Polar Materials and Devices, School of Information Science and Technology, Shanghai 200241, China

Yiting Wang

East China Normal University, Institutes for Advanced Interdisciplinary Research, Shanghai 200062, China

Hongying Liu

East China Normal University, Key Laboratory of Polar Materials and Devices, School of Information Science and Technology, Shanghai 200241, China

Ziqiang Zhu

East China Normal University, Key Laboratory of Polar Materials and Devices, School of Information Science and Technology, Shanghai 200241, China

Opt. Eng. 51(5), 053202 (May 07, 2012). doi:10.1117/1.OE.51.5.053202
History: Received November 14, 2011; Revised February 14, 2012; Accepted March 7, 2012
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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.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Yana Guan ; Qingli Li ; Yiting Wang ; Hongying Liu and Ziqiang Zhu
"Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique", Opt. Eng. 51(5), 053202 (May 07, 2012). ; http://dx.doi.org/10.1117/1.OE.51.5.053202


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