A multi-objective interval valued fuzzy clustering algorithm with spatial information for noisy image segmentation.
Feng ZhaoChaoqi LiHanqiang LiuJiulun FanPublished in: J. Intell. Fuzzy Syst. (2019)
Keyphrases
- spatial information
- fuzzy clustering algorithm
- interval valued
- multi objective
- fuzzy c means
- image segmentation
- fuzzy clustering
- fuzzy sets
- real valued
- group decision making
- membership functions
- partially ordered
- evolutionary algorithm
- representation scheme
- multiple criteria
- objective function
- multi criteria
- genetic algorithm
- aggregation operators
- active contours
- clustering algorithm
- color histogram
- multiscale
- watershed algorithm
- fuzzy numbers
- segmentation method
- spatial relations
- segmentation algorithm
- k means
- computer vision
- partial order
- clustering method
- markov random field
- rough sets
- image processing
- local binary pattern
- gray level
- color images
- expert systems