Proceedings Paper
Fast segmentation of white blood cell based on visual salient features| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a fast, precise method for segmenting white blood cell(WBC) based on visual salient features, which
is a two-stage algorithm consisting of adaptive WBC location based on salient map(AWLSM) by simulating the process
of human perception with bottom-up strategies and extract precise cell structure in cell salient attention window(CASW)
using parameter controlled adaptive salient mechanism (PCASM), the first step locates several CASWs in the blood cell
image and the second step is to extract nucleus and cytoplasm accurately in each CASW. The experimental results
demonstrate that the proposed method has sufficient accuracy and speediness to be used in the automatic blood analyzer.
Paper Details
Date Published: 5 December 2011
PDF: 8 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050P (5 December 2011); doi: 10.1117/12.901226
Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 8 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050P (5 December 2011); doi: 10.1117/12.901226
Show Author Affiliations
Xin Zheng, Huazhong Univ. of Science and Technology (China)
Guoyou Wang, Huazhong Univ. of Science and Technology (China)
Guoyou Wang, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)
Zhonghua Wang, Nanchang Hangkong Univ. (China)
Zhonghua Wang, Nanchang Hangkong Univ. (China)
Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
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