Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7130856 | Optics & Laser Technology | 2013 | 7 Pages |
Abstract
To overcome the shortcomings in the traditional white blood cells (WBCs) identification methods based on the color or gray images captured by light microscopy, a microscopy hyperspectral imaging system was used to analyze the blood smears. The system was developed by coupling an acousto-optic tunable filter (AOTF) adapter to a microscopy and driven by a SPF Model AOTF controller, which can capture hyperspectral images from 550Â nm to 1000Â nm with the spectral resolution 2-5Â nm. Moreover, a combined spatial-spectral algorithm is proposed to segment the nuclei and cytoplasm of WBCs from the microscopy hyperspectral images. The proposed algorithm is based on the pixel-wise improved spectral angle mapper (ISAM) segmentation, followed by the majority voting within the active contour model regions. Experimental results show that the accuracy of the proposed algorithm is 91.06% (nuclei) and 85.59% (cytoplasm), respectively, which is higher than that of the spectral information divergence (SID) algorithm because the new method can jointly use both the spectral and spatial information of blood cells.
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Physical Sciences and Engineering
Engineering
Electrical and Electronic Engineering
Authors
Qingli Li, Yiting Wang, Hongying Liu, Jianbiao Wang, Fangmin Guo,