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Content Provider | IEEE Xplore Digital Library |
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Author | Chessel, A. Fablet, R. Cao, F. Kervrann, C. |
Copyright Year | 2006 |
Description | Author affiliation: IFREMER/LASAA, Plouzane, France (Chessel, A.; Fablet, R.) |
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 $S^{1}$ (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. |
Starting Page | 1561 |
Ending Page | 1564 |
File Size | 4645978 |
Page Count | 4 |
File Format | |
ISBN | 1424404800 |
ISSN | 15224880 |
DOI | 10.1109/ICIP.2006.312605 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-10-08 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Interpolation Data mining Smoothing methods Psychology Humans Computer vision Image processing Filters Convolution Partial differential equations Image edge analysis Image orientation analysis |
Content Type | Text |
Resource Type | Article |
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