Experiments on image texture classification with K-views classifier, Markov random fields and cooccurrence probabilities

摘要

We compared three image classifiers which incorporate contextual information to classify each pixel in the raw images in this study. These procedures incorporate contextual information by using different features and classify the pixel into one of several predefined classes based on these features. These spatial classifiers strive to capture the spatial relationships encoded in the aerial photograph. The determination of the window size is a challenging issue in these spatial classifiers. Preliminary experimental results are provided in this report.