How to use extra training data for better edge detection?
Wenya YangWen WuXiao-Diao ChenXiuting TaoXiaoyang MaoPublished in: Appl. Intell. (2023)
Keyphrases
- edge detection
- training data
- edge detector
- test data
- multiscale
- decision trees
- image processing
- training set
- region growing
- image enhancement
- learning algorithm
- noisy images
- data sets
- classification models
- training process
- prior knowledge
- recursive filtering
- morphological operations
- test set
- labeled data
- edge detection algorithm
- mathematical morphology
- zero crossing
- training instances
- sobel operator
- class labels
- noisy data
- support vector machine
- classification accuracy
- neural network
- learned from training data
- noise estimation
- edge points
- domain knowledge
- generalization error
- training samples
- training dataset
- edge map
- color images
- input data
- unseen data
- pairwise
- semi supervised learning
- edge detection algorithms
- search engine
- naive bayes