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Spatial-spectral Blood Cell Classification with Microscopic Hyperspectral Imagery

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机构: [1]Beijing Univ Chem Technol, Coll Informat Sci & Technol, 15 East Rd, Beijing, Peoples R China [2]Capital Med Univ, Beijing Tongren Hosp, Dept Clin Lab, 1 Dongjiaominxiang, Beijing, Peoples R China
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关键词: microscpic hyperspectral image blood cell classification spatial-spectral classification extreme learning machine

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Microscopic hyperspectral images provide a new way for blood cell examination. The hyperspectral imagery can greatly facilitate the classification of different blood cells. In this paper, the microscopic hyperspectral images are acquired by connecting the microscope and the hyperspectral imager, and then tested for blood cell classification. For combined use of the spectral and spatial information provided by hyperspectral images, a spatial-spectral classification method is improved from the classical extreme learning machine (ELM) by integrating spatial context into the image classification task with Markov random field (MRF) model. Comparisons are done among ELM, ELM-MRF, support vector machines(SVM) and SVM-MRF methods. Results show the spatial-spectral classification methods(ELM-MRF, SVM-MRF) perform better than pixel-based methods(ELM, SVM), and the proposed ELM-MRF has higher precision and show more accurate location of cells.

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第一作者机构: [1]Beijing Univ Chem Technol, Coll Informat Sci & Technol, 15 East Rd, Beijing, Peoples R China
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