@inproceedings{6e3324e8c912486a8a8cd11e6b0602e4,
title = "An automatic blood cell segmentation method based on hyperspectral imaging technology",
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.",
keywords = "SVM, blood cell, hyperspectral imaging, segmentation",
author = "Qian Wang and Qingli Li and Hongying Liu and Mei Zhou and Fangmin Guo",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; International Symposium on Photonics and Optoelectronics, SOPO 2015 ; Conference date: 22-08-2015 Through 24-08-2015",
year = "2015",
doi = "10.1117/12.2197573",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Zhiping Zhou",
booktitle = "International Symposium on Photonics and Optoelectronics, SOPO 2015",
address = "美国",
}