Autonomous Image Segmentation by Competitive Unsupervised GrowCut.
Radu MargineanAnca AndreicaLaura DiosanZoltán BálintPublished in: SYNASC (2019)
Keyphrases
- image segmentation
- unsupervised clustering
- texture image segmentation
- markov random field
- unsupervised learning
- deformable models
- region growing
- supervised classification
- normalized cut
- method for image segmentation
- cooperative
- multiscale
- level set method
- data sets
- robotic systems
- cluster validation
- expectation maximization
- active contours
- segmentation method
- object segmentation
- autonomous systems
- autonomous navigation
- machine learning
- data driven
- semi supervised
- supervised learning
- energy function
- gray level
- texture segmentation
- unsupervised manner
- level set
- energy minimization
- energy functional
- multilevel thresholding
- unsupervised image segmentation
- image processing
- otsu method
- learning algorithm
- unsupervised segmentation
- variational level set
- segmenting images
- probabilistic relaxation
- image segmentation algorithms
- segmentation algorithm
- boundary detection
- medical imaging