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We present a hierarchical Markov Random Field (HMRF) for multi-label image segmentation. With such a hierarchical model, we can incorporate global knowledge into our segmentation algorithm. Solving the MRF is formulated as a MAX-SUM problem for which there exist efficient solvers based on linear programming. We show that our method allows for automatic segmentation of mast cells and their cell organelles...
Glaucoma is the second leading cause of blindness worldwide. The risk of glaucoma can be determined by calculating the cup to disc ratio in retinal fundus images. To accurately detect the optic cup, kinks or bends in small and medium vessels are important indicators of the cup boundary. In this paper, we present a method of detecting such vessels, through the extraction of patches and generation of...
Anti-virus experiment in vitro is a common way to screen and identify antiviral drugs. Most of the cell lines in anti-virus experiments are wall-adherent. The segmentation, recognition and counting this wall-adherent cells in micrograph successfully can cut down the time and cost of the experiment. Because of the wall-adherent cells characteristics, to segment this kind of image is much difficult...
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