Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21587-2_20 | MCPR |
Keywords | Field | DocType |
rank m-type l-filter,segment noisy image,different influence function,fuzzy c-means method,fuzzy c-means,clustering algorithm,fcm algorithm,different type,main objective,image processing scheme,rank m-type,noise,segmentation | Pattern recognition,Computer science,Fuzzy logic,Filter (signal processing),Image processing,Robust statistics,Robustness (computer science),Artificial intelligence,Real image,Cluster analysis,Machine learning,Estimator | Conference |
Citations | PageRank | References |
1 | 0.36 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dante Mújica-Vargas | 1 | 10 | 2.55 |
| Francisco J. Gallegos-Funes | 2 | 66 | 10.19 |
| Rene Cruz-Santiago | 3 | 2 | 1.05 |