As applied in the field of computer vision, graph cut optimization can be employed to efficiently solve a wide variety of low-level computer vision problems, such as image smoothing, the stereo correspondence problem, image segmentation, object co-segmentation, cv problems that can be formulated in terms of energy minimization.
python opencv computer-vision gaussian-mixture-models image-segmentation gaussian-filter energy-minimization graphcut-segmentation
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Updated
May 10, 2023 - Jupyter Notebook