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This paper proposed a novel multiresolution double level set algorithm for medical image, which has a large amount of intensity inhomogeneities and complicated background, and can not be separated completely by traditional level set. First of all, the algorithm gets the coarse scale image by analyzing the image with wavelet multiscale decomposition. Then, the algorithm identifies multiple targets by segmenting the analysed results in terms of improved double level set model. In order to deal with the effect of intensity inhomogeneities on the medical image, the algorithm introduces a bias fitting term into the improved double level set model and optimizes the coarse-scale segmentation result. The exper­ imental result shows that the algorithm can reduce the problems of intensity inhomogeneities and complicated back­ ground ? separate medical image including intensity inhomogeneities and multiple objects completely, and obtain the ex­ pected effect of segmentation.

多分辨率双水平集医学图像分割算法 (Segmentation Algorithm of Medical Images Based on Multi-resolution Double Level Set).