An adaptive clustering and chrominance-based merging approach for image segmentation and abstraction.
Lulu HeThrasyvoulos N. PappasPublished in: ICIP (2010)
Keyphrases
- self organizing maps
- image segmentation
- k means
- unsupervised learning
- neural network
- region merging
- active contours
- object segmentation
- spectral clustering
- high level
- multiscale
- image analysis
- markov random field
- level set
- segmented images
- fuzzy c means
- segmentation method
- gray level
- graph cuts
- color images
- clustering algorithm
- boundary detection
- unsupervised image segmentation
- merging algorithm
- agglomerative clustering
- fuzzy c means clustering
- contour detection
- image segmentation algorithm
- image processing
- unsupervised clustering
- anomaly detection
- graph partitioning
- multiresolution
- image quality
- data clustering
- cluster analysis
- outlier detection
- data sets