Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Noyel P"'
Autor:
Noyel, Guillaume
Classically, in Mathematical Morphology, an image (i.e., a grey-level function) is analysed by another image which is named the structuring element or the structuring function. This structuring function is moved over the image domain and summed to th
Externí odkaz:
http://arxiv.org/abs/2309.02007
Publikováno v:
Discrete Geometry and Mathematical Morphology. DGMM 2022., 13493, Springer, 2022, Lecture Notes in Computer Science
Morphological neural networks allow to learn the weights of a structuring function knowing the desired output image. However, those networks are not intrinsically robust to lighting variations in images with an optical cause, such as a change of ligh
Externí odkaz:
http://arxiv.org/abs/2204.09319
Publikováno v:
Image Analysis and Stereology, International Society for Stereology, 2007, 26 (3), pp.101-109
The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a spectral classification to obtain the markers
Externí odkaz:
http://arxiv.org/abs/2010.00853
Publikováno v:
Image Analysis and Stereology, International Society for Stereology, 2011, 30 (2), pp.101-109
Computing an array of all pairs of geodesic distances between the pixels of an image is time consuming. In the sequel, we introduce new methods exploiting the redundancy of geodesic propagations and compare them to an existing one. We show that our m
Externí odkaz:
http://arxiv.org/abs/2007.16076
Publikováno v:
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), IEEE, Apr 2020, Iowa City, United States. pp.1246-1249
We introduce a novel method to extract the vessels in eye fun-dus images which is adaptive to lighting variations. In the Logarithmic Image Processing framework, a 3-segment probe detects the vessels by probing the topographic surface of an image fro
Externí odkaz:
http://arxiv.org/abs/2004.13992
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Claire Berger, Sandrine Thouvenin, Aurélie Montmartin, Pauline Noyel, Coline Legendre, Brigitte Tardy-Poncet
Publikováno v:
Hematology, Vol 28, Iss 1 (2023)
ABSTRACTObjectives: To report the long-term prophylaxis management of a child with type 3 von Willebrand disease by switching to Wilate (Octapharma AG), a plasma-derived, double virus-inactivated concentrate of freeze-dried of a 1 to 1 ratio of activ
Externí odkaz:
https://doaj.org/article/9d8ed8bf34204e4fad3821a00c640ba7
Publikováno v:
Image Analysis and Stereology, International Society for Stereology, 2015, 34 (1), pp.1-25
We propose a new computer aided detection framework for tumours acquired on DCE-MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) series on small animals. In this approach we consider DCE-MRI series as multivariate images. A full multivariat
Externí odkaz:
http://arxiv.org/abs/1910.12704
Autor:
Noyel, Guillaume, Jourlin, Michel
Publikováno v:
Image Analysis and Stereology, International Society for Stereology, 2020, 39 (2), pp.53--71
In this paper, we propose a complete framework to process images captured under uncontrolled lighting and especially under low lighting. By taking advantage of the Logarithmic Image Processing (LIP) context, we study two novel functional metrics: i)
Externí odkaz:
http://arxiv.org/abs/1909.01585
Autor:
Noyel, Guillaume
Publikováno v:
14th International Symposium on Mathematical Morphology, Saarland University, Jul 2019, Saarbr\"ucken, Germany. pp.41-53
Functional Asplund's metrics were recently introduced to perform pattern matching robust to lighting changes thanks to double-sided probing in the Logarithmic Image Processing (LIP) framework. Two metrics were defined, namely the LIP-multiplicative A
Externí odkaz:
http://arxiv.org/abs/1907.07509