A Novel Image Segmentation Based on Clustering and Population-Based Optimisation.
Seyed Jalaleddin MousaviradGerald SchaeferHossein Ebrahimpour-KomlehIakov KorovinPublished in: ICSI (2020)
Keyphrases
- image segmentation
- spectral clustering
- clustering algorithm
- clustering method
- graph partitioning
- unsupervised clustering
- cluster validation
- markov random field
- fuzzy c means clustering
- normalized cut
- categorical data
- fuzzy c means
- k means
- multiscale
- graph cuts
- unsupervised learning
- data clustering
- unsupervised image segmentation
- supervised classification
- object segmentation
- image segmentations
- hierarchical clustering
- genetic algorithm
- information theoretic
- outlier detection
- gray level
- segmentation algorithm
- computer vision
- differential evolution
- image processing
- level set
- segmenting images
- neural network
- probabilistic relaxation
- criterion function
- objective function
- image analysis
- data points
- level set method
- particle swarm optimization
- energy function
- deformable models
- cluster analysis