The Improved Membership Matrix Initialization Method of FCM for Image Segmentation

Zong Jia Wu; Li Kun Liu

doi:10.4028/www.scientific.net/AMR.989-994.3743

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994The Improved Membership Matrix Initialization...

The Improved Membership Matrix Initialization Method of FCM for Image Segmentation

Abstract:

The performance of FCM for image segmentation directly subjects to the initialized membership matrix. This paper proposed twice FCM method to solve the membership matrix initiation problem. The image is spared to a blurred image at first, and then uses the FCM for the blurred image to obtain an iterative result, in which the membership matrix is taken as the initialized membership function of the FCM for the original image processing. This method overcomes the random membership initialization method cannot convergence to the optimum point of the objective function of FCM for the image segmentation at some extend, furthermore, it can obtain better results than the traditional FCM method.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3743-3746

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3743

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Online since:

July 2014

Authors:

Zong Jia Wu*, Li Kun Liu

Keywords:

FCM, Image Segmentation, Initialization Method, Membership Matrix

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* - Corresponding Author

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