Improved dynamic weighted FCM for image segmentation using post-segmentation

Aimin Li; Kun Li

doi:10.1117/12.2281564

21 July 2017 Improved dynamic weighted FCM for image segmentation using post-segmentation

Aimin Li, Kun Li

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104202F (2017) https://doi.org/10.1117/12.2281564
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

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.

Citation Download Citation

Aimin Li and Kun Li "Improved dynamic weighted FCM for image segmentation using post-segmentation", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104202F (21 July 2017); https://doi.org/10.1117/12.2281564

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