Abstract:We propose an adaptive multiphase image segmentation algorithm based on SLIC to solve the problem of the interactive segmentation of multiphase images. Firstly，the new algorithm uses the SLIC method to segment image into superpixels with similar size and regular shape. As the original data points, the fivedimensional eigenvalues of the superpixel center point are clustered by the DBSCAN algorithm with adaptive parameters. Meanwhile, segmentation boundary lines and the number of multiphase can also be obtained. The algorithm can determine the number of segmentations adaptively without user interaction requirement. In order to verify the effectiveness of the proposed algorithm, we make a comparison with the artificial annotation of the segmented image on the standard data set of Berkeley College (BSDS500). Because of the SLIC algorithm, the proposed algorithm can segment an image with 481×321 pixels in only 1.5 seconds. Experimental results show that it can effectively solve the problem of manual interaction in multiphase image segmentation while the PRI and VOI indexes are superior to traditional algorithms. Our algorithm can adaptively determine the number of segmentations and improve the efficiency of segmentation with good segmentation effect.