Block-Matching Fuzzy C-Means clustering algorithm for segmentation of color images degraded with Gaussian noise.
Fernando Gamino-SánchezIsabel V. Hernández-GutiérrezAlberto J. Rosales-SilvaFrancisco J. Gallegos FunesDante Mújica-VargasEduardo Ramos-DíazBlanca E. Carvajal-GámezJean Marie Vianney KinaniPublished in: Eng. Appl. Artif. Intell. (2018)
Keyphrases
- gaussian noise
- block matching
- color images
- impulse noise
- impulsive noise
- fuzzy c means clustering algorithm
- motion estimation
- denoising
- noisy images
- motion compensation
- motion vectors
- noise level
- image restoration
- image segmentation
- optical flow
- video compression
- degraded images
- signal to noise ratio
- block size
- noise removal
- edge detection
- fuzzy clustering
- gray scale
- color information
- fuzzy c means
- noise reduction
- digital images
- video coding
- fcm algorithm
- video sequences
- video data
- image processing
- multiresolution
- grayscale images
- object recognition
- motion compensated
- super resolution
- clustering method