Fusion of Fuzzy Set and FCM for Image Segmentation-Reference-Cited by-同舟云学术

Fusion of Fuzzy Set and FCM for Image Segmentation

Published:2012-06 Issue: Volume:182-183 Page:723-728
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Zhang Chao Quan¹,Chen Liang¹,Zhou Shao Jing²

Affiliation:

1. Jiangxi University of Science and Technology

2. Kunming Metallurgy College

Abstract

Image segmentation with the traditional Fuzzy C-means (FCM) algorithm only uses each pixel’s gray value, when the image is corrupted by noises, the accuracy of segmentation will be greatly reduced. So, this paper proposed an image segmentation method which based on rough sets theory and fuzzy c-mean clustering. The test result shows that the method has a good segmentation performance.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.182-183.723.pdf

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