GENERAL CONCLUSIONS
Developed an algorithm for estimating the scenic beauty rating of forestry images
Developed feature extraction modules for various features
- Edge Detection
- Fractal Dimension
- Entropy
- Sharpness
- Standard Deviation
- Compression Ratio
Developed an extensive database in conjunction with USDA
The best error rate is 36.8% with the classification approach for the RGB + Long-Lines + Entropy model
The best correlation is 0.65 using all features
Software, data and documentation are available
from the ISIP web site at:
http://isip.msstate.edu/resources/technology/research/isip/projects/1997/sbe_imaging/