In order to overcome the problem of over-segmentation caused by traditional watershed algorithm, a colorimage segmentation algorithm based on simple linear iterative clustering (SLIC) and watershed algorithm is pro-posed to achieve an ideal segmentation effect. Firstly, the algorithm calculates the number of super-pixelspre-segmented by image complexity, and uses SLIC to super-pixel segmentation preprocessing of the original imageto reduce the redundant information in subsequent processing. Then, an adaptive threshold calculation method isproposed to process the gradient image of the preprocessed image in order to effectively remove noise and obtainmore complete contour information. Finally, the watershed segmentation algorithm is used to segment the imageextracted by the minimum value marker. Experiments on a large number of images show that the proposed algorithm can effectively suppress the over-segmentation problem caused by the traditional watershed algorithm, and is su-perior to the traditional algorithm in the comparison of LCE and GCE, and the segmentation quality is improved.