Non-convex non-local reactive flows for saliency detection and segmentation

Journal of Computational and Applied Mathematics（2020）

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摘要

We propose and numerically solve a new variational model for automatic saliency detection and segmentation in digital images. Using a non-local framework we consider a family of edge preserving functions combined with a new quadratic saliency detection term. Such a term defines a constrained bilateral obstacle problem for image classification driven by p-Laplacian operators, including the so-called hyper-Laplacian case (0更多

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关键词

Variational methods,Non-local image processing,Automatic saliency detection,MRI-flair glioblastoma segmentation

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