Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique

Yana Guan; Qingli Li; Yiting WangHongying LiuZiqiang Zhu

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Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique

机译：Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique

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摘要

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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来源
《Optical Engineering》 |2012年第5期|053202-1-053202-7|共7页
作者
Yana Guan; Qingli Li; Yiting WangHongying LiuZiqiang Zhu;
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作者单位

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

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

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
关键词
hyperspectral imaging; leucocyte segmentation; blood cells;

Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique

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