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22 August 2015 An automatic blood cell segmentation method based on hyperspectral imaging technology
Qian Wang, Qingli Li, Hongying Liu, Mei Zhou, Fangmin Guo
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Proceedings Volume 9656, International Symposium on Photonics and Optoelectronics 2015; 96560V (2015) https://doi.org/10.1117/12.2197573
Event: International Symposium on Photonics and Optics, 2015, Shanghai, China
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.
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Qian Wang, Qingli Li, Hongying Liu, Mei Zhou, and Fangmin Guo "An automatic blood cell segmentation method based on hyperspectral imaging technology", Proc. SPIE 9656, International Symposium on Photonics and Optoelectronics 2015, 96560V (22 August 2015); https://doi.org/10.1117/12.2197573
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KEYWORDS
Blood
Image segmentation
Hyperspectral imaging
Image classification
Image processing
Classification systems
Remote sensing
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