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Proceedings of 2009 Conference onCommunication Faculity (PCCF 2009 E-BOOK)

Nan'ning,China,9.18-9.20,2009

ISBN: 978-1-935068-06-8 Scientific Research Publishing, USA

E-Book 712pp Pub. Date: December 2009

Category: Engineering

Price: $100

Title: An Image Segmentation Algorithm Based On Fuzzy C-Means Clustering
Source: Proceedings of 2009 Conference onCommunication Faculity (PCCF 2009 E-BOOK) (pp 123-126)
Author(s): Xinbo Zhang, College of Information and Electronic Engineering, ZheJiang Gongshang University, Hangzhou, china
Li Jiang, College of Information and Electronic Engineering, ZheJiang Gongshang University, Hangzhou, china
Abstract: Image segmentation algorithm based on fuzzy c-means (fcm) clustering is an important algorithm in the image segmentation fields. However, it doesn’t consider the special information but the gray information. That made the segmentation unideal. Therefore, we proposed an image segmentation algorithm based on weighed fcm. Moreover we optimized the parted pattern and initialized the number of the classification by the validity functions. The experimental result illustrates that the proposed method can realize the segmentation on the noised image or complicated image.
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