Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Guillaume Noyel"'
Autor:
Guillaume Noyel, Michel Jourlin
Publikováno v:
Image Analysis and Stereology, Vol 39, Iss 2, Pp 53-71 (2020)
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:
https://doaj.org/article/9919ddfda5674d81a9fc41824b2d1c80
Autor:
Guillaume Noyel, Michel Jourlin
Publikováno v:
Image Analysis and Stereology, Vol 38, Iss 1, Pp 43-52 (2019)
In order to create an image segmentation method robust to lighting changes, two novel homogeneity criteria of an image region were studied. Both were defined using the Logarithmic Image Processing (LIP) framework whose laws model lighting changes. Th
Externí odkaz:
https://doaj.org/article/a58f7f8512294daa96f2e0f8dd084952
Publikováno v:
Image Analysis and Stereology, Vol 34, Iss 1, Pp 1-25 (2014)
We propose a new computer aided detection framework for tumours acquired on DCE-MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) series on small animals. To perform this approach, we consider DCE-MRI series as multivariate images. A full mu
Externí odkaz:
https://doaj.org/article/602842fe637a41f2a283f202dd1adcd5
Publikováno v:
Image Analysis and Stereology, Vol 30, Iss 2, Pp 101-109 (2011)
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:
https://doaj.org/article/c94b9c43b6fe431f9ee7436183e9b22b
Publikováno v:
Image Analysis and Stereology, Vol 26, Iss 3, Pp 101-109 (2011)
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:
https://doaj.org/article/1eb0818333c44488987c172914197695
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8306e28448f61983783ff6f213966d0a
https://doi.org/10.1007/978-3-031-19897-7_36
https://doi.org/10.1007/978-3-031-19897-7_36
Autor:
Guillaume Noyel
Publikováno v:
Vision par ordinateur et reconnaissance de formes [cs.CV]. Université de Reims Champagne-Ardenne, 2021
Guillaume Noyel
Guillaume Noyel
With the massive use of digital photography, large databases of images have been built during the last decades, both for industry and medicine. However, the images were generally captured with different lighting conditions, poses of the camera and ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d0908216f7245f86923c1f8123c0f89c
https://tel.archives-ouvertes.fr/tel-03343079/document
https://tel.archives-ouvertes.fr/tel-03343079/document
Publikováno v:
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), IEEE, Apr 2020, Iowa City, United States. pp.1246-1249, ⟨10.1109/ISBI45749.2020.9098332⟩
ISBI
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), IEEE, Apr 2020, Iowa City, United States. pp.1246-1249, ⟨10.1109/ISBI45749.2020.9098332⟩
ISBI
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c242664709e6d0878741bd76fb0e954
https://hal.archives-ouvertes.fr/hal-02556835
https://hal.archives-ouvertes.fr/hal-02556835
Autor:
Guillaume Noyel
Publikováno v:
14th International Symposium on Mathematical Morphology (ISMM 2019)
14th International Symposium on Mathematical Morphology (ISMM 2019), Saarland University, Jul 2019, Saarbrücken, Germany. pp.41-53, ⟨10.1007/978-3-030-20867-7_4⟩
Lecture Notes in Computer Science ISBN: 9783030208660
ISMM
14th International Symposium on Mathematical Morphology (ISMM 2019), Saarland University, Jul 2019, Saarbrücken, Germany. pp.41-53, ⟨10.1007/978-3-030-20867-7_4⟩
Lecture Notes in Computer Science ISBN: 9783030208660
ISMM
International audience; 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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77387894c78f0d6abe34b85f9c4638d2
https://hal.archives-ouvertes.fr/hal-02183488/file/2019_Noyel_ISMM.pdf
https://hal.archives-ouvertes.fr/hal-02183488/file/2019_Noyel_ISMM.pdf
Autor:
Michel Jourlin, Guillaume Noyel
Publikováno v:
Image Analysis and Stereology
Image Analysis and Stereology, International Society for Stereology, 2019, 38 (1), pp.43-52. ⟨10.5566/ias.2038⟩
Image Analysis and Stereology, Vol 38, Iss 1, Pp 43-52 (2019)
Image Analysis and Stereology, International Society for Stereology, 2019, 38 (1), pp.43-52. ⟨10.5566/ias.2038⟩
Image Analysis and Stereology, Vol 38, Iss 1, Pp 43-52 (2019)
In order to create an image segmentation method robust to lighting changes, two novel homogeneity criteria of an image region were studied. Both were defined using the Logarithmic Image Processing (LIP) framework whose laws model lighting changes. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49748f07bbb631f5a827bc82c3a326b8
http://arxiv.org/abs/1904.12597
http://arxiv.org/abs/1904.12597