Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 198-201.doi: 10.11896/j.issn.1002-137X.2017.6A.045

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Image Segmentation Algorithm Based on Clustering and Improved Double Level Set

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

  • Online:2017-12-01 Published:2018-12-01

Abstract: Usually,medical image accompanied by noise with a multi-objective problem,can not be separated completely by traditional level set in the image with multiple targets.This paper proposed a model based on inhibiting type of fuzzy clustering algorithm and modified double level set.First of all,the clustering algorithm is used for pre segmentation of medical image noise reduction,which can determine whether a cluster achieves satisfied effect through standardized rule of normalized mutual information (NMI),thus improving clustering algorithm. The improved double level set with pu-nishment item is given a second segmentation finally.The experimental results show that the method can reduce the noise of the image and the sensitivity of the algorithm,without reinitialize level set,reducing the amount of calculation and the number of iteration greatly.The model can separate medical image including noise and multiple objects completely,obtaining the expected effect of segmentation.

Key words: Medical image segmentation,Clustering,NMI,Double level set

[1] 方江雄.变分和偏微分方法在图像分割中的应用[M].北京:中国石化出版社,2015:3-9.
[2] OSHER S,SETHIAN J A.Fronts propagating with curvature dependent speed:Algorithms based on the Hamilton-Jacobi formulation [J].Journal of Computational physics,1998,79:12-49.
[3] CHAN T,VESE L.Active contours without edges[J].IEEETransactions on Image Processing,2001,10(2):266-276.
[4] VESE L A,CHAN T F.A multiphase level set framework for image segmentation using the mumford and shah model [J].International Journlal of Computer Vision,2002,50(3):271-293.
[5] LI C,XU C,GUI C,et al.Level set evolution without re-initia-lization:A new variational formulation[C]∥IEEE Conference on Computer Vision and Patter Recognition (CVPR).2005:430-436.
[6] FAN J L,ZHEN W Z,XIE W X.Suppressed fuzzy C-meansclustering algorithm[J].Pattern Recognition Letters,2003,4(9/10):1607-1612.
[7] CAI W,CHEN S,ZHANG D.Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation[J].Pattern Recognition,2007,40(3):825-838.
[8] 范九伦.抑制式模糊C-均值聚类研究综述[J].西安邮电大学,2014,3(1):2095-6533.
[9] KNOPS Z F,MAINT J B,VIERGVER M A.Normalized mutual information based registration using k-means clustering and shading correction[J].Medical Image Analysis,2006,10(3):432-439.
[10] LI C M,XU C Y.Distance Regularized Level Set Evolution and Its Application to Image Segmentation [J].IEEE Transactions on Image Processing,2010,19(12):3243-3253.

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