@inproceedings{0a68c471cca9476bae80d8b980b840f2,
title = "Segmentation of noisy images using the rank m-type l-filter and the fuzzy c-means clustering algorithm",
abstract = "In this paper we present an image processing scheme to segment noisy images based on a robust estimator in the filtering stage and the standard Fuzzy C-Means (FCM) clustering algorithm to segment the images. The main objective of paper is to evaluate the performance of the Rank M-type L-filter with different influence functions and to establish a reference base to include the filter in the objective function of FCM algorithm in a future work. The filter uses the Rank M-type (RM) estimator in the scheme of L-filter, to get more robustness in the presence of different types of noises and a combination of them. Tests were made on synthetic and real images subjected to three types of noise and the results are compared with six reference modified Fuzzy C-Means methods to segment noisy images.",
keywords = "Fuzzy C-Means, L-filter, RM-estimator, noise, robust estimators, segmentation",
author = "Dante M{\'u}jica-Vargas and Gallegos-Funes, {Francisco J.} and Rene Cruz-Santiago",
year = "2011",
doi = "10.1007/978-3-642-21587-2_20",
language = "Ingl{\'e}s",
isbn = "9783642215865",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "184--193",
booktitle = "Pattern Recognition - Third Mexican Conference, MCPR 2011, Proceedings",
note = "3rd Mexican Conference on Pattern Recognition, MCPR 2011 ; Conference date: 29-06-2011 Through 02-07-2011",
}