Crease enhancement diffusion

Andres Fco Solé; Antonio López; Guillermo Sapiro

doi:10.1006/cviu.2001.0945

Crease enhancement diffusion

Andres Fco Solé, Antonio López, Guillermo Sapiro

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	241-248
Number of pages	8
Journal	Computer Vision and Image Understanding
Volume	84
Issue number	2
DOIs	https://doi.org/10.1006/cviu.2001.0945
State	Published - Nov 2002
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition

Keywords

Anisotropic diffusion
Diffusion process
PDEs
Ridges
Structure tensor
Valleys

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10.1006/cviu.2001.0945

Cite this

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abstract = "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.",

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year = "2002",

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T1 - Crease enhancement diffusion

AU - Solé, Andres Fco

AU - López, Antonio

AU - Sapiro, Guillermo

PY - 2002/11

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AB - 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.

KW - Anisotropic diffusion

KW - Diffusion process

KW - PDEs

KW - Ridges

KW - Structure tensor

KW - Valleys

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DO - 10.1006/cviu.2001.0945

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JO - Computer Vision and Image Understanding

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IS - 2

ER -

Crease enhancement diffusion

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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