A　leukocyte　classification　method　was　proposed　by　using　image　technologies.Firstly,　based　on　image　color　information,　image　distance　transformation　and　the　Snake　of　Gradient　Vector　Flow　(GVF　Snake),　the　leukocytes　were　extracted　in　a　blood　cell　image,　and　then　the　high　saturation　trait　of　the　leukocyte　nuclei　was　combined　the　morphological　mathematics　and　GVF　Snake　to　detect　the　nuclei　in　the　leukocyte　image.　According　to　the　features　of　morphometry,　color　and　texture　for　cells,　the　Support　Vector　Machines　(SVMs)　were　taken　to　classify　the　leukocytes.　The　results　show　that　the　proposed　image　segmentation　method　and　the　classifier　to　classify　the　leukocytes　can　achieve　the　accuracy　by　89.6%.　Compared　to　other　traditional　cell　image　segmentation　and　analysis　methods,　the　proposed　method　is　satisfactory.