Zobrazeno 1 - 10
of 338
pro vyhledávání: '"Johan, Debayle"'
Publikováno v:
Image Analysis and Stereology, Vol 43, Iss 2 (2024)
This research work aims to characterize the algal colonization of mortar surfaces using image analysis. The resistance of mortars to the biofouling is studied by means of an accelerated lab-scale test. A suspension of green algae Klebsormidium flacci
Externí odkaz:
https://doaj.org/article/3916e7b130dd4787a2d19ac39d2cddfa
Publikováno v:
IEEE Access, Vol 12, Pp 85969-85982 (2024)
Time-series classification (TSC) has been widely utilized across various domains, including brain-computer interfaces (BCI) for emotion recognition through electroencephalogram (EEG) signals. However, traditional methods often struggle to capture the
Externí odkaz:
https://doaj.org/article/418c9c0d9ac8460ba2b3164cc727f82e
Publikováno v:
Image Analysis and Stereology, Vol 42, Iss 1, Pp 1-16 (2023)
The main goal of this paper is to propose a method for the 3D morphological characterization of compact aggregates using 2D image analysis. The problem at hand is the 3D morphometric characterization of latex nanoparticle aggregates. The only availab
Externí odkaz:
https://doaj.org/article/326af67eb7274a6f8e3019bf68150382
Autor:
Leo Theodon, Tatyana Eremina, Kassem Dia, Fabrice Lamadie, Jean-Charles Pinoli, Johan Debayle
Publikováno v:
Image Analysis and Stereology, Vol 40, Iss 3, Pp 115-125 (2021)
This paper presents a new method for estimating the parameters of a stochastic geometric model for multiphase flow image processing using local measures. Local measures differ from global measures in that they are only based on a small part of a bina
Externí odkaz:
https://doaj.org/article/2d187bc4909f40f2a747af9e87418f3d
Publikováno v:
Image Analysis and Stereology, Vol 40, Iss 2, Pp 105-114 (2021)
Local Binary Pattern (LBP) are considered as a classical descriptor for texture analysis, it has mostly been used in pattern recognition and computer vision applications. However, the LBP gets information from a restricted number of local neighbors w
Externí odkaz:
https://doaj.org/article/55a4a3cd7748440a92e44f19111c6878
Publikováno v:
Image Analysis and Stereology, Vol 40, Iss 2, Pp 95-103 (2021)
We introduce a particular localization of the Minkowski functionals to characterize and discriminate different random spatial structures. The aim of this paper is to present a method estimating the typical grain elongation ratio in a homogeneous Bool
Externí odkaz:
https://doaj.org/article/fe0be289c41c4088a86832c20d046217
Publikováno v:
Image Analysis and Stereology, Vol 40, Iss 1, Pp 29-38 (2021)
Mathematical Morphology (MM) is a tool that can be applied to many digital image processing tasks that include the reduction of impulsive or salt and pepper noise in grayscale images. The morphological filters used for this task are filters resulting
Externí odkaz:
https://doaj.org/article/0ebaad091bd94eee9218c84313e6d12d
Publikováno v:
Journal of Imaging, Vol 8, Iss 7, p 200 (2022)
The local binary model is a straightforward, dependable, and effective method for extracting relevant local information from images. However, because it only uses sign information in the local region, the local binary pattern (LBP) is ineffective at
Externí odkaz:
https://doaj.org/article/9a640a2766a94471819e356895c34a7d
Publikováno v:
Image Analysis and Stereology, Vol 37, Iss 3, Pp 233-247 (2018)
In this paper a new approach to geometrically model and characterize 2D silhouette images of two-phase flows is proposed. The method consists of a 3D modeling of the particles population based on some morphological and interaction assumptions. It inc
Externí odkaz:
https://doaj.org/article/6bda48e4426d45d79e319ea42ad66e79
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 3, Iss 4, Pp 325-364 (2017)
In this paper, the 2-D random closed sets (RACS) are studied by means of the Feret diameter, also known as the caliper diameter. More specifically, it is shown that a 2-D symmetric convex RACS can be approximated as precisely as we want by some rando
Externí odkaz:
https://doaj.org/article/832c5932f95149a7b27d4acfdfd64844