5 December 2011 Fast segmentation of white blood cell based on visual salient features
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Proceedings Volume 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing; 80050P (2011) https://doi.org/10.1117/12.901226
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
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Xin Zheng, Xin Zheng, Guoyou Wang, Guoyou Wang, Jianguo Liu, Jianguo Liu, Zhonghua Wang, Zhonghua Wang, } "Fast segmentation of white blood cell based on visual salient features", Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050P (5 December 2011); doi: 10.1117/12.901226; https://doi.org/10.1117/12.901226
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