An integrated approach of Active Incremental fine-tuning, SegNet, and CRF for cutting tool wearing areas segmentation with small samples.
Huanrong RenWei GuoPingyu JiangXu WanPublished in: Knowl. Based Syst. (2021)
Keyphrases
- fine tuning
- small samples
- cutting tool
- segmentation algorithm
- sample size
- conditional random fields
- image segmentation
- markov fields
- model selection
- computer aided design
- tool wear
- multiscale
- fine tuned
- graphical models
- regression trees
- object segmentation
- condition monitoring
- segmentation method
- superpixels
- accurate models
- support vector machine
- image analysis
- pairwise
- machine learning
- random fields
- neural network
- computer graphics
- high accuracy
- feature vectors
- feature selection