Moron

This version is able to predict new types of offensiveness: latex, net stockings, and skin-like patches, in addition to the previously recognized classes "drawn" and "default". This version is a total rewrite and requires Matlab. The predictions are now made on small local image windows. Local Binary Patterns (LBPs) and HSV histograms are used for feature extraction and Random Forests are applied for classification.

The classifier was retrained with a training set augmented with several hundreds of previously misclassified images. The WEKA package is no longer required for operation.

This version is a large overhaul. Previous ad-hoc feature extraction routines were changed to ones based on Minkowski integrals and Haralick texture statistics. Training image set was augmented with hundreds of previously problematic images, totaling over 8000 images. A new model was built in a cost-sensitive fashion using depth 7 decision trees and 95 iterations of LogitBoosting. This experimental branch is straightforwardly usable only on Linux style systems.

This version is coded entirely in Java, making it usable on any platform having Java2 v1.4. In addition to source code, a binary .JAR is now available. The classification engine has been retrained with a more challenging training set.