PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
Aimin Li andKun 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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Aimin Li, 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