Abstract: A color image segmentation method was presented for Virtual Chinese Human Project.Using this policy,the color slice images of refrigerant body can be segmented in series automatically.This new method was mainly based on region-growing arithmetic.A combination of color and texture was performed for comparability evaluation.Window-median arithmetic was applied to avoid noisy seed point.A corrosion algorithm was implemented to create target seed points automatically.An adaptive algorithm was adopted to set threshold.And the multithreading frame for concurrent computation was introduced in the entire segmentation procedure.This method supermatic the primary organ of Virtual Human was segmented fleetly and serially.The organ's figures after segmentation were clear and accurate.The models after 3D reconstruction were visual and vivid,as well.