An object recognition method using the improved snake algorithm.
Qian ZhangSung-Jong EunHyeonjin KimTaeg Keun WhangboPublished in: ICUIMC (2012)
Keyphrases
- improved algorithm
- cost function
- high accuracy
- preprocessing
- dynamic programming
- energy function
- optimization algorithm
- computational cost
- experimental evaluation
- synthetic and real images
- segmentation method
- clustering method
- detection algorithm
- object recognition
- computationally efficient
- computational efficiency
- significant improvement
- segmentation algorithm
- objective function
- detection method
- theoretical analysis
- support vector machine svm
- recognition algorithm
- classification method
- probabilistic model
- k means
- single pass
- classification algorithm
- em algorithm
- optimization method
- convergence rate
- similarity measure
- input data
- estimation algorithm
- pairwise
- learning algorithm
- selection algorithm
- deformable contour
- matching algorithm
- tree structure
- optimal solution
- computational complexity
- support vector machine
- object detection
- particle swarm optimization
- prior information
- region of interest
- mathematical model
- template matching
- edge detection
- graph cuts
- knn
- image matching
- contour extraction
- feature selection