The present invention provides a two-channel medical image segmentation method based on the colorimetric colors and the spatial nonuniformity of texture differences. The method comprises the steps of S1, acquiring medical image data, subjecting the image data to preliminary screening, obtaining image data having differences, subjecting the image data having differences to space conversion to convert RGB spatial images into HIS spatial images, and obtaining a chrominance image IH and a saturation image IS from the HIS spatial images; S2, obtaining a final image IHue containing the global color information and used for image segmentation; S3, obtaining an image Itexture containing the local texture information; 4, constructing a colorimetric texture-embedded regional activity-based contour model based on the information of the image IHue and the information of the image Itexture, wherein the contour model is used for segmenting the data of a medical image having colorimetric differences and texture differences. In this way, based on the method, the automatic segmentation of interested regions is realized for specialized people. Meanwhile, the time consumption is reduced and the efficiency is improved.