A neural network ensemble method for effective crack segmentation using fully convolutional networks and multi-scale structured forests.
Sen WangXing WuYinghui ZhangXiaoqin LiuLun ZhaoPublished in: Mach. Vis. Appl. (2020)
Keyphrases
- multiscale
- ensemble methods
- neural network
- random forests
- prediction accuracy
- image segmentation
- random forest
- decision trees
- edge detection
- ensemble learning
- generalization ability
- rotation forest
- base classifiers
- natural images
- pattern recognition
- image processing
- bp neural network
- neural network model
- benchmark datasets
- machine learning algorithms
- artificial neural networks