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Proceedings Paper

Improved dynamic weighted FCM for image segmentation using post-segmentation
Author(s): Aimin Li; Kun Li
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Paper Abstract

In this paper, we proposed a novel method for image segmentation by adding dynamic weighting coefficients based on the original fuzzy weighting in combination with two-dimensional gray-level histogram segmentation method in fuzzy cmeans algorithm (FCM). Finally, post-segmentation is carried out to improve the quality of image segmentation. Experimental results show that this method can speed up the process of finding the optimal solution and improve the image segmentation accuracy and robustness of anti-noise.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104202F (21 July 2017);
Show Author Affiliations
Aimin Li, Qilu Univ. of Technology (China)
Kun Li, Qilu Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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