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Computer Vision and Image Understanding
Article . 2001 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Article
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DBLP
Article . 2020
Data sources: DBLP
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Crease Enhancement Diffusion

Crease enhancement diffusion
Authors: Andres Fco. Solé; Antonio M. López 0001; Guillermo Sapiro;

Crease Enhancement Diffusion

Abstract

Summary: Ridge and valley structures are important image features, especially in oriented textures. Usually, the extraction of these structures requires a prefiltering step to regularize the source image. In this paper, we show that classical diffusion-based filters are not always appropriate for this task and propose a new filtering process. This new filter can be interpreted as an example of introducing the intrinsic image structure in a diffusion process.

Keywords

image features, valley, Pattern recognition, speech recognition, ridge, Computing methodologies for image processing

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Average
bronze