Improving the unsupervised LBG clustering algorithm performance in image segmentation using principal component analysis.
Ashkan ParsiAli Ghanbari SorkhiMorteza ZahediPublished in: Signal Image Video Process. (2016)
Keyphrases
- image segmentation
- principal component analysis
- clustering algorithm
- cluster validation
- normalized cut
- unsupervised clustering
- fuzzy c means
- spectral clustering
- principal components
- independent component analysis
- vector quantization
- agglomerative clustering
- image processing
- supervised classification
- graph partitioning
- semi supervised
- covariance matrix
- graph cuts
- region growing
- computer vision
- low dimensional
- k means
- segmentation algorithm
- clustering method
- markov random field
- discriminant analysis
- image analysis
- data clustering
- multiscale
- feature extraction
- boundary detection
- texture segmentation
- vector quantizer
- texture image segmentation
- dimension reduction
- hierarchical clustering
- active contours
- level set
- dimensionality reduction
- feature selection
- method for image segmentation
- feature space
- unsupervised image segmentation
- feature vectors
- contour detection
- supervised learning
- segmented images
- unsupervised learning
- segmentation method
- cluster analysis
- linear discriminant analysis