TY - GEN
T1 - Robust RML estimator - Fuzzy C-means clustering algorithms for noisy image segmentation
AU - Mújica-Vargas, Dante
AU - Gallegos-Funes, Francisco Javier
AU - Rosales-Silva, Alberto J.
AU - Cruz-Santiago, Rene
PY - 2011
Y1 - 2011
N2 - Image segmentation is a key step for many images analysis applications. So far, there does not exist a general method to segment suitable all images, regardless if these are corrupted or noise free. In this paper, we propose to modify the Fuzzy C-means clustering algorithm and the FCM-S1 variant by using the RML-estimator. The idea to our method is to get robust clustering algorithms able to segment images with different type and levels of noises. The performance of the proposed algorithms is tested on synthetic and real images. Experimental results show that the proposed algorithms are more robust to the noise presence and more effective than the comparative algorithms.
AB - Image segmentation is a key step for many images analysis applications. So far, there does not exist a general method to segment suitable all images, regardless if these are corrupted or noise free. In this paper, we propose to modify the Fuzzy C-means clustering algorithm and the FCM-S1 variant by using the RML-estimator. The idea to our method is to get robust clustering algorithms able to segment images with different type and levels of noises. The performance of the proposed algorithms is tested on synthetic and real images. Experimental results show that the proposed algorithms are more robust to the noise presence and more effective than the comparative algorithms.
KW - Fuzzy C-Means
KW - RML-estimator
KW - noise
KW - robust estimators
KW - segmentation
UR - http://www.scopus.com/inward/record.url?scp=82555180493&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25330-0_42
DO - 10.1007/978-3-642-25330-0_42
M3 - Contribución a la conferencia
SN - 9783642253294
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 474
EP - 486
BT - Advances in Soft Computing - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings
T2 - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011
Y2 - 26 November 2011 through 4 December 2011
ER -