Orientation interpolation and applications

Anatole Chessel; Ronan Fablet; Frederic Cao; Charles Kervrann

doi:10.1109/ICIP.2006.312605

Orientation interpolation and applications

Anatole Chessel, Ronan Fablet, Frederic Cao, Charles Kervrann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Psychovision have shown that many grouping laws come into play to structure human vision. They use informations of different kinds, not only gray (or color)-level values. Here we will show how an orientation interpolation operator working in S¹ (angle in [0, 2π[) can be used to recover geometrical information in images. The operator is presented and is used to produce fields that drive a Fast Marching contour extraction algorithm and a LIC-based smoothing method. Experiment on real images are reported to validate the proposed approach.

Original language	English
Title of host publication	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages	1561-1564
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2006.312605
Publication status	Published - 1 Dec 2006
Externally published	Yes
Event	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Duration: 8 Oct 2006 → 11 Oct 2006

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2006 IEEE International Conference on Image Processing, ICIP 2006
Country/Territory	United States
City	Atlanta, GA
Period	8/10/06 → 11/10/06

Keywords

Image edge analysis
Image orientation analysis
Interpolation
Partial differential equations

Access to Document

10.1109/ICIP.2006.312605

Cite this

@inproceedings{cec5245256d445f38850e79ef51a3236,

title = "Orientation interpolation and applications",

abstract = "Psychovision have shown that many grouping laws come into play to structure human vision. They use informations of different kinds, not only gray (or color)-level values. Here we will show how an orientation interpolation operator working in S1 (angle in [0, 2π[) can be used to recover geometrical information in images. The operator is presented and is used to produce fields that drive a Fast Marching contour extraction algorithm and a LIC-based smoothing method. Experiment on real images are reported to validate the proposed approach.",

keywords = "Image edge analysis, Image orientation analysis, Interpolation, Partial differential equations",

author = "Anatole Chessel and Ronan Fablet and Frederic Cao and Charles Kervrann",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/ICIP.2006.312605",

language = "English",

isbn = "1424404819",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "1561--1564",

booktitle = "2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings",

note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

}

Chessel, A, Fablet, R, Cao, F & Kervrann, C 2006, Orientation interpolation and applications. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4106841, Proceedings - International Conference on Image Processing, ICIP, pp. 1561-1564, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 8/10/06. https://doi.org/10.1109/ICIP.2006.312605

Orientation interpolation and applications. / Chessel, Anatole; Fablet, Ronan; Cao, Frederic et al.
2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings. 2006. p. 1561-1564 4106841 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Orientation interpolation and applications

AU - Chessel, Anatole

AU - Fablet, Ronan

AU - Cao, Frederic

AU - Kervrann, Charles

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Psychovision have shown that many grouping laws come into play to structure human vision. They use informations of different kinds, not only gray (or color)-level values. Here we will show how an orientation interpolation operator working in S1 (angle in [0, 2π[) can be used to recover geometrical information in images. The operator is presented and is used to produce fields that drive a Fast Marching contour extraction algorithm and a LIC-based smoothing method. Experiment on real images are reported to validate the proposed approach.

AB - Psychovision have shown that many grouping laws come into play to structure human vision. They use informations of different kinds, not only gray (or color)-level values. Here we will show how an orientation interpolation operator working in S1 (angle in [0, 2π[) can be used to recover geometrical information in images. The operator is presented and is used to produce fields that drive a Fast Marching contour extraction algorithm and a LIC-based smoothing method. Experiment on real images are reported to validate the proposed approach.

KW - Image edge analysis

KW - Image orientation analysis

KW - Interpolation

KW - Partial differential equations

U2 - 10.1109/ICIP.2006.312605

DO - 10.1109/ICIP.2006.312605

M3 - Conference contribution

AN - SCOPUS:78649870168

SN - 1424404819

SN - 9781424404810

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 1561

EP - 1564

BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings

T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006

Y2 - 8 October 2006 through 11 October 2006

ER -

Orientation interpolation and applications

Abstract

Publication series

Conference

Keywords

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