Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 189-192.doi: 10.11896/j.issn.1002-137X.2017.11A.039

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Segmentation Algorithm of Medical Images Based on Multi-resolution Double Level Set

TANG Wen-jie, ZHU Jia-ming and ZHANG Hui   

  • Online:2018-12-01 Published:2018-12-01

Abstract: 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 levelset.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 experimental result shows that the algorithm can reduce the problems of intensity inhomogeneities and complicated background,separate medical image including intensity inhomogeneities and multiple objects completely,and obtain the expected effect of segmentation.

Key words: Medical image segmentation,Multi-resolution,Double level set,Bias correction

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