A proposal for an intelligent brush control to segment objects based on Haralick texture features, a dimensionality reduction step, and an unsupervised learning pipeline based on K-Means and GMM. It is shown that in brush control, user assistance substantially influences and improves the result. Also, the classic texture features are insufficient because they were not originally conceived to include color information.
