From Inpainting to Active Contours

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3 Citations (Scopus)

Abstract

We introduce a novel type of region based active contour using image inpainting. Usual region based active contours assume that the image is divided into several semantically meaningful regions and attempt to differentiate them through recovering dynamically statistical optimal parameters for each region. In case when perceptually distinct regions have similar intensity distributions, the methods mentioned above fail. In this work, we formulate the problem as optimizing a ”background disocclusion” criterion, a disocclusion that can be performed by inpainting. We look especially at a family of inpainting formulations that includes the Chan and Shen Total Variation Inpainting (more precisely a regularization of it). In this case, the optimization leads formally to a coupled contour evolution equation, an inpainting equation, as well as a linear PDE depending on the inpainting. The contour evolution is implemented in the framework of level sets. Finally, the proposed method is validated on various examples.
Original languageEnglish
Title of host publicationVariational, Geometric, and Level Set Methods in Computer Vision
Publisher<Forlag uden navn>
Publication date2005
Pages97-108
ISBN (Print)978-3-540-29348-4
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventThird International Workshop in Variational, Geometric, and Level Set Methods in Computer Vision (VLSM) - Beijing, China
Duration: 29 Nov 2010 → …
Conference number: 3

Conference

ConferenceThird International Workshop in Variational, Geometric, and Level Set Methods in Computer Vision (VLSM)
Number3
Country/TerritoryChina
CityBeijing
Period29/11/2010 → …
SeriesLecture notes in computer science
Volume3752/2005
ISSN0302-9743

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