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.