Local Information-Driven Intuitionistic Fuzzy C-Means Algorithm Integrating Total Bregman Divergence and Kernel Metric for Noisy Image Segmentation.
Chengmao WuCongcong HuangJiajia ZhangPublished in: Circuits Syst. Signal Process. (2023)
Keyphrases
- fuzzy c means algorithm
- fuzzy c means
- image segmentation
- bregman divergences
- mahalanobis distance
- fuzzy clustering
- euclidean distance
- kl divergence
- dissimilarity measure
- cost sensitive
- markov random field
- information theoretic
- exponential family
- maximum entropy
- distance metric
- clustering algorithm
- support vector
- metric learning
- clustering method
- learning theory
- graph cuts
- loss function
- multi class
- machine learning
- image processing
- computer vision
- level set
- nearest neighbor
- covariance matrix
- membership functions
- cluster centers
- similarity measure
- theoretical guarantees
- learning algorithm