Efficient image labeling based on markov random field and error backpropagation network

A Markov Random Field (MRF) model-based approach is proposed as a systematic way for modeling, encoding and applying scene knowledge to the image understanding problem. First, the image is segmented into a set of disjoint regions and a Region Adjacency Graph (RAG) is then constructed from the resulting segmented regions based on the spatial adjacencies between regions. The problem is then formulated by defining region labels and these labels …