A5047960331- Medical Image Segmentation Techniques
- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- Image Processing and 3D Reconstruction
- Image and Object Detection Techniques
- Digital Image Processing Techniques
- Robotics and Sensor-Based Localization
- Soil and Unsaturated Flow
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Advanced Numerical Analysis Techniques
- Remote Sensing and LiDAR Applications
- Soil Carbon and Nitrogen Dynamics
- Soil Geostatistics and Mapping
- Lattice Boltzmann Simulation Studies
- Groundwater flow and contamination studies
- Image Retrieval and Classification Techniques
- Microbial Community Ecology and Physiology
- Geological Modeling and Analysis
- CO2 Sequestration and Geologic Interactions
- Hydrocarbon exploration and reservoir analysis
- Medical Imaging Techniques and Applications
- Enhanced Oil Recovery Techniques
- Generative Adversarial Networks and Image Synthesis
Institut de Recherche pour le Développement
2014-2025
Sorbonne Université
2013-2025
Unité de Modélisation Mathématique et Informatique des Systèmes Complexes
2014-2025
Cadi Ayyad University
2022-2025
Université Paris Cité
2013-2017
Michigan Science Center
2017
Université de Yaoundé I
2013
Institut de Recherche pour le Développement
2011
Institut de Recherche pour le Développement
2010
Cheikh Anta Diop University
2006-2009
Abstract Macroscopic models of soil organic matter (SOM) turnover have faced difficulties in reproducing SOM dynamics or predicting the spatial distribution carbon stocks. These are based on a largely inadequate linear response microorganisms to bulk concentrations nutrients and it is clear that new approach modelling required. Introducing explicit microbial activity (OM) reactivity macroscopic represents challenge because fine scales at which processes occur. To get better grasp...
Abstract Over the last decades, a new generation of microscale models has been developed to simulate soil microbial activity. An earlier article (Pot et al., 2021) presented detailed review description architecture and dynamics in these models. In present article, we summarise main results obtained by according six model outputs: growth spatial organisation colonies, hydraulic conductivity, coexistence trophic interactions microorganisms, temporal amount solid dissolved organic matter and,...
The concept of using wastewater as a substitute for limited water resources and environmental protection has enabled this sector to make major technological advancements and, result, given us an abundance physical data, including chemical, biological, microbiological information. It is easier comprehend treatment systems after studying data. In order achieve this, number studies use machine learning (ML) algorithms proactive approach solving issues modeling the functionalities these...
Three-dimensional edge detection in voxel images is used to locate points corresponding surfaces of 3-D structures, and the local geometry these characterized order extract or lines which may be by registration tracking procedures. Typically, second-order differential characteristics must calculated. To avoid problem establishing links between surface approximation it proposed compute curvatures at locations designated as points, using partial derivatives image directly. By assuming that...
Abstract. This paper deals with the simulation of microbial degradation organic matter in soil within pore space at a microscopic scale. Pore was analysed micro-computed tomography and described using sphere network coming from geometrical modelling algorithm. The biological model improved regarding previous work order to include transformation dissolved compounds diffusion processes. We tested our experimental results simple substrate decomposition experiment (fructose) medium (sand)...
This paper deals with the computational modeling of biological dynamics in soil using an exact micro-scale pore space description from 3D Computed Tomography (CT) images. Within this context, costs and storage requirements constitute critical factors for running simulations on large datasets over extended periods. In research, we represent by a graph voxels (Voxel Graph-Based Approach, VGA) model transport fully saturated conditions (two-phase system) Fick's law coupled diffusion...
We describe a new approach for extracting crest lines and thin nets. The key point of our is to model nets as the image surface. Crest are where one two principal curvatures locally extremal. define these using first, second third derivatives image. compute recursive filters approximating Gaussian filter its derivatives. Using an adapted scale factor, we apply this extraction roads in satellite data blood vessels medical images. also method depth maps human faces.
We present a new approach to the segmentation problem by optimizing criterion which estimates quality of segmentation. use graph-based description partition an image and merging strategy based on optimal sequence criteria. This method separates making criteria from their definition. An efficient data structure enables our implementation have low algorithmic complexity. Our offers general framework for solving large class problems. show how adapt this segment 2-D natural images including...
A novel algorithm for three-dimensional edge detection is proposed. This method an extension to the 3D case of optimal 2D detector recently introduced by R. Deriche (1987). The authors present better theoretical and experimental performances than some classical approaches used previously. Experimental results obtained on magnetic-resonance images echographic are shown. It pointed out that this approach can be detect edges in other multidimensional data, instance, 2D+t or 3D+t images.< <ETX...
3D edge detection in voxel images provides points corresponding to the surfaces forming structure. The next stage is characterize local geometry of these order extract or lines on which registration and tracking procedures can rely. Typically one must calculate second differential characteristics such as maximum, mean Gaussian curvatures. classical approach use surface fitting therefore it faces problem establishing links between approximation. To get rid this question, we propose compute...