Segmentation of Noisy Images Using the Rank M-type L-filter and the Fuzzy C-Means Clustering Algorithm.
Dante Mújica-VargasFrancisco J. Gallegos FunesRene Cruz-SantiagoPublished in: MCPR (2011)
Keyphrases
- noisy images
- edge detection
- fuzzy c means clustering algorithm
- noise variance
- denoising
- image denoising
- bilateral filter
- noise free
- noise level
- wavelet denoising
- noise reduction
- iris segmentation
- denoising methods
- region growing
- level set
- image segmentation
- fuzzy clustering
- gaussian noise
- clustering algorithm
- image patches
- wavelet coefficients
- mumford shah
- fuzzy c means
- high dimensional
- multiscale
- feed forward back propagation neural network
- total variation
- edge information
- image quality
- computational intelligence
- fcm algorithm
- pairwise
- computer vision