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• W2149011086 abstract "In this paper, we present a graph-based image segmentation method (patch-cuts) that incorporates features and spatial relations obtained from image patches. In the first step, patch-cuts extracts a set of patches that can assume arbitrary shape and size. Patches are determined by a combination of intensity quantization and morphological operations and render the proposed method robust against noise. Upon patch extraction, a set of intensity, texture and shape features are computed for each patch. These features are integrated and minimized simultaneously in a tunable energy function. Patch-cuts explores the benefit of information theory-based measures such as the Kullback-Leibler and the Jensen-Shannon divergence in its energy terms. In our experiments, we applied patchcuts to general images as well as to non-contrast Computed Tomography heart scans." @default.
• W2149011086 created "2016-06-24" @default.
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• W2149011086 date "2010-01-01" @default.
• W2149011086 modified "2023-09-26" @default.
• W2149011086 title "Patch-Cuts: A Graph-Based Image Segmentation Method Using Patch Features and Spatial Relations" @default.
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• W2149011086 doi "https://doi.org/10.5244/c.24.29" @default.
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