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Proceedings Paper

An automatic blood cell segmentation method based on hyperspectral imaging technology
Author(s): Qian Wang; Qingli Li; Hongying Liu; Mei Zhou; Fangmin Guo
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Paper Abstract

Hyperspectral blood image has been utilized in biomedical field for a period of time. However, identifying and segmenting blood cells is still a tricky issue. Thus, this paper proposed a new method based on support vector machine (SVM) to solve this issue from hyperspectral images. Then post-processing of holes-filling and noise removing are performed on the segmented results to get completed cell. The experimental results proved the accuracy and accommodation for this new proposed method.

Paper Details

Date Published: 22 August 2015
PDF: 6 pages
Proc. SPIE 9656, International Symposium on Photonics and Optoelectronics 2015, 96560V (22 August 2015); doi: 10.1117/12.2197573
Show Author Affiliations
Qian Wang, East China Normal Univ. (China)
Qingli Li, East China Normal Univ. (China)
Hongying Liu, East China Normal Univ. (China)
Mei Zhou, East China Normal Univ. (China)
Fangmin Guo, East China Normal Univ. (China)

Published in SPIE Proceedings Vol. 9656:
International Symposium on Photonics and Optoelectronics 2015
Zhiping Zhou, Editor(s)

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