Superpixel Segmentation via Contour Optimized Non-Iterative Clustering.
Jianglei GongNannan LiaoCheng LiXiaojun MaWangpeng HeBaolong GuoPublished in: NCAA (2021)
Keyphrases
- spectral clustering
- image segmentation
- normalized cut
- clustering method
- contour detection
- image segmentation algorithm
- data clustering
- boundary extraction
- segmentation algorithm
- level set
- unsupervised clustering
- active contours
- k means
- segmented images
- clustering algorithm
- region growing
- segmentation method
- figure ground
- deformable contour
- image regions
- gradient vector flow
- multiscale segmentation
- superpixels
- graph cuts
- active contour model
- multiscale
- shape prior
- global shape
- snake model
- energy function
- self organizing maps
- region merging
- object boundaries
- semantic segmentation
- gradient information
- fully unsupervised
- energy functional
- mean shift
- geometric shapes
- medical images
- input image
- level set evolution
- geometric active contours
- perceptual grouping
- ellipse fitting