• Best results were using a combination of color information and frequency information - 33.96% misclassification rate

  • This is still not as good as just guessing MSBE all of the time

  • The data has a lot of overlap - thus non-linear techniques are no better than linear methods.

  • Future Work
  • Investigate methods for assuring that human ratings are representative and consistent

  • "Object" recognition for classification - how many trees are in the image and how dense are they?

  • Combine classification techniques. Develop LDA model that provides maximal separation, then use regression analysis on the transformed features.

  • Provide more perceptually meaningful features

  • Develop a fuzzy system to handle the ambiguity at the MSBE/LSBE and MSBE/HSBE borders