Feature space based image segmentation via density modification.
Debashis SenSankar K. PalPublished in: ICIP (2009)
Keyphrases
- feature space
- image segmentation
- mean shift
- graph cuts
- active contours
- multiscale
- image processing
- feature vectors
- boundary detection
- method for image segmentation
- markov random field
- high dimensionality
- input space
- image segmentation algorithm
- high dimensional
- unsupervised image segmentation
- feature selection
- density function
- region merging
- gray level
- energy function
- nonparametric density estimation
- image representation
- input data
- training samples
- segmentation algorithm
- data points
- computer vision
- gaussian mixture model
- segmenting images
- level set method
- principal component analysis
- fuzzy c means
- image analysis
- high dimensional feature space
- contour detection
- feature extraction
- dimension reduction
- medical imaging
- kernel function
- data sets
- low density
- dot product
- machine learning
- classification accuracy
- kernel pca
- graph partitioning
- hyperplane
- edge detection
- sparse coding
- dimensionality reduction
- feature set
- medical images