Table 1.
GMM | Bayes | SPL | Cheddad Chen |
SA1 SA2 SA3 |
DYC | SegNet U-Net DeepLab HardNet |
PVT HSN |
|
---|---|---|---|---|---|---|---|---|
Preprocessing steps | ||||||||
None | x | x | x | x | x | x | ||
Dynamic adaptation | x | x | ||||||
Color space | ||||||||
Basic color spaces | x | x | x | x | x | |||
Perceptual color spaces | x | |||||||
Orthogonal color spaces | x | |||||||
Other (e.g., color ratio) | x | |||||||
Problem formulation | ||||||||
Segmentation based | x | x | x | |||||
Pixel based | x | x | x | x | x | |||
Type of pixel classification | ||||||||
Rule based | x | x | ||||||
Machine learning: parametric | x | x | ||||||
Machine learning: non-parametric | x | |||||||
Type of classifier | ||||||||
Statistical | x | x | ||||||
Mixture techniques | x | |||||||
Adaptive methods | x | |||||||
CNN | x | |||||||
Transformer | x |