Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Marc Donias"'
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108035- (2022)
This article introduces a dataset of 2 801 images of vegetable crops. Maize (Zea mays), bean (Phaseolus vulgaris) and leek (Allium ampeloprasum) crops at an early stage of development (between 2 and 5 weeks from seeding of transplanting) are supporte
Externí odkaz:
https://doaj.org/article/9bdd40350b7049ceaa4315c5c79b152c
Autor:
Christian Germain, Rémy Blanc, Marc Donias, Olivier Lavialle, Jean-Pierre Da Costa, Pierre Baylou
Publikováno v:
Image Analysis and Stereology, Vol 24, Iss 3, Pp 127-134 (2011)
This paper discusses two new image analysis methods for estimating the elevation angle of the section plane of a material. These methods are applicable to materials such as nickel base superalloys, the microstructure of which shows cubes arranged on
Externí odkaz:
https://doaj.org/article/bdd3d5cb75a045a997c8c6af18887407
Publikováno v:
EUSIPCO
2020 28th European Signal Processing Conference (EUSIPCO)
2020 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, France. pp.1532-1536, ⟨10.23919/Eusipco47968.2020.9287792⟩
2020 28th European Signal Processing Conference (EUSIPCO)
2020 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, France. pp.1532-1536, ⟨10.23919/Eusipco47968.2020.9287792⟩
This paper presents a deep automatic colorization approach which avoids any manual intervention. Recently Generative Adversarial Network (GANs) approaches have proven their effectiveness for image colorization tasks. Inspired by GANs methods, we prop
Publikováno v:
Computers and Electronics in Agriculture. 192:106606
Publikováno v:
Computer Vision and Image Understanding
Computer Vision and Image Understanding, Elsevier, 2018, 172, pp.12-24. ⟨10.1016/j.cviu.2018.04.001⟩
Computer Vision and Image Understanding, Elsevier, 2018, 172, pp.12-24. ⟨10.1016/j.cviu.2018.04.001⟩
Texture synthesis has become an important topic in image processing, with many fundamental applications in computer vision and image understanding. The purpose of this survey is to give an overview and classification of texture synthesis approaches.
Publikováno v:
Signal, Image and Video Processing. 12:41-49
In this paper, a new algorithm is presented for the nonparametric synthesis of arbitrary-shaped textures from an initial texture sample, called the exemplar, and a reference orientation map, called the reference and intended to constrain the coarse s
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:248-260
This paper deals with parametric techniques for the description of texture on very high resolution (VHR) remote sensing images. These techniques focus on the property of anisotropy as described by the local structure tensor (LST). The novelty of this
Autor:
Pierrick Legrand, Thierry Ferreira, Marc Donias, Bastien Berthelot, Jean-Marc André, Eric Grivel, Patrick Mazoyer
Publikováno v:
EUSIPCO 2019-27th European Signal Processing Conference
EUSIPCO 2019-27th European Signal Processing Conference, Sep 2019, A Coruna, Spain
HAL
EUSIPCO
EUSIPCO 2019-27th European Signal Processing Conference, Sep 2019, A Coruna, Spain
HAL
EUSIPCO
Even if they can be outperformed by other methods, the detrended fluctuation analysis (DFA) and the detrended moving average (DMA) are widely used to estimate the Hurst exponent because they are based on basic notions of signal processing. For the la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a4280b7a766e7d764f635b637203334
https://hal.archives-ouvertes.fr/hal-02147663
https://hal.archives-ouvertes.fr/hal-02147663
Publikováno v:
Journal of Applied Geophysics
Journal of Applied Geophysics, Elsevier, 2019, 167, pp.152-159. ⟨10.1016/j.jappgeo.2018.07.021⟩
Journal of Applied Geophysics, Elsevier, 2019, 167, pp.152-159. ⟨10.1016/j.jappgeo.2018.07.021⟩
In the context of faulted or occluded regions in seismic images, seismic horizon reconstruction requires the use of fast interactive approaches with respect to any bounding domain and number of passing points. The only algorithms which respect these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f3cc83ed880658af1bff3854222cfd2
https://hal.archives-ouvertes.fr/hal-02509424
https://hal.archives-ouvertes.fr/hal-02509424
Autor:
Marc Donias, Mireille El Gheche, Sebastien Guillon, Yannick Berthoumieu, Moctar Mounirou Arouna
Publikováno v:
Journal of Applied Geophysics
Journal of Applied Geophysics, Elsevier, 2018, 159, pp.157-172. ⟨10.1016/j.jappgeo.2018.07.013⟩
Journal of Applied Geophysics, Elsevier, 2018, 159, pp.157-172. ⟨10.1016/j.jappgeo.2018.07.013⟩
For a geoscientist, the Relative Geologic Time (RGT) is an important tool to perform chronostratigraphic analysis. However, automatically estimate an RGT image from a seismic image can be a challenging task where we have to respect seismic features,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d973befd73e9529000d62fe7edb16ab9
https://hal.archives-ouvertes.fr/hal-02509426
https://hal.archives-ouvertes.fr/hal-02509426