A New Edge Detection Approach Based on Fuzzy Segments Clustering.
Pablo A. Flores-VidalDaniel GómezPablo OlasoCarely GuadaPublished in: EUSFLAT/IWIFSGN (2) (2017)
Keyphrases
- edge detection
- fuzzy clustering
- clustering algorithm
- k means
- fuzzy logic
- fuzzy c means clustering
- unsupervised learning
- clustering method
- data sets
- clustering analysis
- subtractive clustering
- fuzzy systems
- image processing
- self organizing maps
- fuzzy clustering algorithms
- fuzzy sets
- fuzzy set theory
- document clustering
- hierarchical clustering
- edge detector
- fuzzy k means
- noise estimation
- validity index
- gustafson kessel
- categorical data
- cluster analysis
- data clustering
- information theoretic
- fuzzy rules
- data points
- multiscale
- membership functions
- fcm algorithm
- fuzzy clustering algorithm
- image enhancement
- outlier detection
- line segments
- cluster validity index
- computer vision