Hybrid Image Segmentation using Discerner Cluster in FCM and Histogram Thresholding
Firas Ajil JassimPublished in: CoRR (2013)
Keyphrases
- image segmentation
- fuzzy c means
- gray level
- fuzzy c means clustering algorithm
- clustering algorithm
- unsupervised clustering
- cluster centers
- image thresholding
- fuzzy c means algorithm
- fuzzy clustering
- possibilistic clustering
- image processing
- normalized cut
- active contours
- multiscale
- cluster validation
- region growing
- markov random field
- data clustering
- fcm algorithm
- level set
- multilevel thresholding
- deformable models
- computer vision
- thresholding method
- color and texture features
- contour detection
- method for image segmentation
- otsu method
- image analysis
- edge detection
- segmentation algorithm
- gray value
- k means
- global thresholding
- graph cuts
- segmentation method
- adaptive thresholding
- cluster analysis
- spectral clustering
- level set method
- low contrast
- texture features
- unsupervised image segmentation
- seeded region growing
- hierarchical clustering
- object segmentation
- image segmentation algorithm
- co occurrence
- unsupervised segmentation