Markov Random Field (MRF) models provide a probabilistic framework for partitioning images into meaningful regions by capturing spatial dependencies among pixels or image elements. Fundamentally, an ...
Graph-based image segmentation frames an image as a weighted graph in which pixels or regions correspond to nodes, and edges encode similarity or affinity between neighbouring elements. By formulating ...
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