Fast segmentation of white blood cell based on visual salient features
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.
Human perception WBC location Visual salient features Cell salient attention window
Xin Zheng Guoyou Wang Jianguo Liu Zhonghua Wang
Institute for Pattern Recognition & Artificial Intelligence in Huazhong University of Science &Techn School of Information Engineering, Nanchang Hangkong University, Nanchang, 330063, China
国际会议
桂林
英文
1-8
2011-11-01(万方平台首次上网日期,不代表论文的发表时间)