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pro vyhledávání: '"tree of shapes"'
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Autor:
Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
Publikováno v:
IEEE Access, Vol 5, Pp 13617-13634 (2017)
In this paper, we propose a method for texture image labeling that works with a small number of training images. Our method is based on a tree of shapes and histogram features computed on the tree structure. Labeling results could be obtained by simp
Externí odkaz:
https://doaj.org/article/ed3e7228bf604ce5a7c36b8a9572c2cd
Autor:
Pascal Monasse
Publikováno v:
Image Processing On Line
Image Processing On Line, IPOL-Image Processing on Line, 2019, 9, pp.205-219. ⟨10.5201/ipol.2019.269⟩
Image Processing On Line, IPOL-Image Processing on Line, 2019, 9, pp.205-219. ⟨10.5201/ipol.2019.269⟩
International audience; We detail precisely an algorithm for the extraction of the level lines of a bilinear image, which is a continuous function interpolating bilinearly a discrete image. If we discard the levels of the discrete image, where topolo
Autor:
Baderot, Julien
Publikováno v:
Traitement du signal et de l'image [eess.SP]. Université Grenoble Alpes [2020-..], 2021. Français. ⟨NNT : 2021GRALT008⟩
This thesis work is included in the context of the metrology of objects from the semiconductorindustry. The development of new technologies of transistors and memories requires tremendous effortsfor the metrology. The industry has solutions to this n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::82cd1ccf5c71965a8cbf78b88ca3dd3f
https://tel.archives-ouvertes.fr/tel-03256727
https://tel.archives-ouvertes.fr/tel-03256727
Autor:
Barbara Romaniuk, Nicolas Passat, Stephanie Servagi-Vernat, Francisco Javier Alvarez Padilla, Dimitri Papathanassiou, Benoît Naegel, D. Morland
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2021, 141, pp.16-22. ⟨10.1016/j.patrec.2020.11.001⟩
Pattern Recognition Letters, 2021, 141, pp.16-22. ⟨10.1016/j.patrec.2020.11.001⟩
Pattern Recognition Letters, Elsevier, 2021, 141, pp.16-22. ⟨10.1016/j.patrec.2020.11.001⟩
Pattern Recognition Letters, 2021, 141, pp.16-22. ⟨10.1016/j.patrec.2020.11.001⟩
International audience; The problem of image segmentation is often considered in the framework of graphs.In this context, two main paradigms exist: in the first, the vertices of a non-directed graph represent the pixels (leading e.g. to the watershed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c38b9c1b1e99438c370bd37fdf56801
https://hal.archives-ouvertes.fr/hal-02426150
https://hal.archives-ouvertes.fr/hal-02426150
Publikováno v:
Mathematical Morphology and Its Applications to Signal and Image Processing
ISMM 2019-International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing
ISMM 2019-International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, Jul 2019, Saarbrücken, Germany. pp.508-519, ⟨10.1007/978-3-030-20867-7_39⟩
Lecture Notes in Computer Science ISBN: 9783030208660
ISMM
ISMM 2019-International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing
ISMM 2019-International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, Jul 2019, Saarbrücken, Germany. pp.508-519, ⟨10.1007/978-3-030-20867-7_39⟩
Lecture Notes in Computer Science ISBN: 9783030208660
ISMM
International audience; The Dermal-Epidermal Junction (DEJ) is a 2D surface separating the epidermis from the dermis which undergoes multiple changes under pathological or ageing conditions. Recent advances in reflectance confocal microscopy now enab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67ba46f57f4730075f61437f702bf9e6
https://hal.archives-ouvertes.fr/hal-02169702/document
https://hal.archives-ouvertes.fr/hal-02169702/document
Publikováno v:
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, Springer Verlag, 2020, 62 (9), pp.1256-1284. ⟨10.1007/s10851-020-00989-y⟩
Journal of Mathematical Imaging and Vision, Springer Verlag, 2020, 62 (9), pp.1256-1284. ⟨10.1007/s10851-020-00989-y⟩
International audience; In discrete topology, we like digitally well-composed (shortly DWC) interpolations because they remove pinches in cubical images. Usual well-composed interpolations are local and sometimes self-dual (they treat in a same way d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::768fdd35ce72a49b2d469fd05595967f
https://hal.archives-ouvertes.fr/hal-02990810/document
https://hal.archives-ouvertes.fr/hal-02990810/document
Ces travaux de thèse portent sur la proposition de stratégies de segmentation des tumeurs cancéreuses dans un contexte multimodal et multitemporel. La multimodalité fait référence au couplage de données TEP/TDM pour exploiter conjointement les
Externí odkaz:
http://www.theses.fr/2019REIMS017/document
Publikováno v:
Computer Science [cs]. Université de Reims Champagne-Ardenne, 2019. English
This work focuses on the proposition of cancerous tumor segmentation strategies in a multimodal and multitemporal context. Multimodal scope refers to coupling PET/CT data in order to jointly exploit both information sources with the purpose of improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::3170f771e1bf6da61214cfe13238820a
https://hal.archives-ouvertes.fr/tel-02880960/document
https://hal.archives-ouvertes.fr/tel-02880960/document
Autor:
Thierry Géraud, Edwin Carlinet
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030208660
ISMM
ISMM
Component trees provide a high-level, hierarchical, and contrast invariant representation of images, suitable for many image processing tasks. Yet their definition is ill-formed on multivariate data, e.g., color images, multi-modality images, multi-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66a79a9369d433caabb39211d446837a
https://doi.org/10.1007/978-3-030-20867-7_17
https://doi.org/10.1007/978-3-030-20867-7_17