Abstract
Abstract The Ambrosio–Tortorelli approximation scheme with weighted underlying metric is investigated. It is shown that it Γ-converges to a Mumford–Shah image segmentation functional depending on the weight ω d x {\omega\,dx} , where ω is a special function of bounded variation, and on its values at the jumps.
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