An MRF Model for Biomedical Image Segmentation

We propose a Markov random field (MRF)-based method to segment photographic biomedical images into three image sub-regions, viz., tissue, photo, and background. Segmentation results are then used to extract local and global visual features to separate images with tissue, such as endoscopic images, from general photographs.

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