3D geometrical modelling of pore space micro-structures to simulate microbial decomposition of or... more 3D geometrical modelling of pore space micro-structures to simulate microbial decomposition of organic matter
A theoretical link is established between the 3D edge detection and the local surface approximati... more A theoretical link is established between the 3D edge detection and the local surface approximation using uncertainty. As a practical application of the theory, a method is presented for computing typical curvature features from 3D medical images. The authors determine the uncertainties inherent in edge (and surface) detection and 2D and 3D images by quantitatively analyzing the uncertainty in edge
We describe in this paper part of the research being performed at Inria on the automatic interpre... more We describe in this paper part of the research being performed at Inria on the automatic interpretation of three-dimensional images. We identify three common key problems which we call segmentation, representation, and matching of 3D regions. We describe our approach for solving these problems, our current results on 3D medical images, and give the trends of our future work.
HAL (Le Centre pour la Communication Scientifique Directe), Nov 9, 2016
The extreme heterogeneity of soils constituents, architecture and inhabitants at the microscopic ... more The extreme heterogeneity of soils constituents, architecture and inhabitants at the microscopic scale is increasingly recognized. Microbial communities exist and are active in a complex 3-D physical frame-work of mineral and organic particles defining pores of various sizes, more or less inter-connected. This results in a frequent spatial disconnection between soil carbon, energy sources and the decomposer organisms and a variety of microhabitats that are more or less suitable for microbial growth and activity. However, current biogeochemical models account for C dynamics at the macroscale (cm, m) and consider time and spatially averaged relationships between microbial activity and soil characteristics. Different modelling approaches have intended to account for this microscale heterogeneity, based either on considering aggregates as surrogates for microbial habitats, or pores. Innovative modelling approaches are based on an explicit representation of soil structure at the fine scale, i.e. at μm to mm scales: pore architecture and their saturation with water, localization of organic resources and of microorganisms. Three recent models are presented here, that describe the hetero-trophic activity of either bacteria or fungi and are based upon different strategies to represent the complex soil pore system (Mosaic, LBios and μFun). These models allow to hierarchize factors of mi-crobial activity in soil’s heterogeneous architecture. Present limits of these approaches and challenges are presented, regarding the extensive information required on soils at the microscale and to up-scale microbial functioning from the pore to the core scale. Accounting for microbial habitats in modelling soil organic matter dynamics can be based on an explicit representation for the microorganisms’environment
... INRIA Avenue Emile HUgueS 06565 Valbonne FRANCE approximation of the shape of the object whos... more ... INRIA Avenue Emile HUgueS 06565 Valbonne FRANCE approximation of the shape of the object whose vertices Abotract are the measured points. ... Thmoram 1 : Assume without loss of generality that the same vertex has been chosen as an origin on both the convex hull of the ...
International Journal of Pattern Recognition and Artificial Intelligence, Dec 1, 1987
We present a new approach to the segmentation problem by optimizing a criterion which estimates t... more We present a new approach to the segmentation problem by optimizing a criterion which estimates the quality of a segmentation. We use a graph-based description of a partition of an image and a merging strategy based on the optimal use of a sequence of criteria. This method separates the strategy of making use of the segmentation criteria from their definition. An efficient data structure enables our implementation to have a low algorithmic complexity. Our method offers a general framework for solving a large class of segmentation problems. We show how to adapt this method to segment 2-D natural images including color images. This algorithm is also used for segmentation of 3-D images.
... version française english version rss feed. inria-00532665, version 1.Segmentation of complex... more ... version française english version rss feed. inria-00532665, version 1.Segmentation of complex 3-D medical objects, a challenge and a requirement for computer assisted surgery planning and performing. ...
3D geometrical modelling of pore space micro-structures to simulate microbial decomposition of or... more 3D geometrical modelling of pore space micro-structures to simulate microbial decomposition of organic matter
A theoretical link is established between the 3D edge detection and the local surface approximati... more A theoretical link is established between the 3D edge detection and the local surface approximation using uncertainty. As a practical application of the theory, a method is presented for computing typical curvature features from 3D medical images. The authors determine the uncertainties inherent in edge (and surface) detection and 2D and 3D images by quantitatively analyzing the uncertainty in edge
We describe in this paper part of the research being performed at Inria on the automatic interpre... more We describe in this paper part of the research being performed at Inria on the automatic interpretation of three-dimensional images. We identify three common key problems which we call segmentation, representation, and matching of 3D regions. We describe our approach for solving these problems, our current results on 3D medical images, and give the trends of our future work.
HAL (Le Centre pour la Communication Scientifique Directe), Nov 9, 2016
The extreme heterogeneity of soils constituents, architecture and inhabitants at the microscopic ... more The extreme heterogeneity of soils constituents, architecture and inhabitants at the microscopic scale is increasingly recognized. Microbial communities exist and are active in a complex 3-D physical frame-work of mineral and organic particles defining pores of various sizes, more or less inter-connected. This results in a frequent spatial disconnection between soil carbon, energy sources and the decomposer organisms and a variety of microhabitats that are more or less suitable for microbial growth and activity. However, current biogeochemical models account for C dynamics at the macroscale (cm, m) and consider time and spatially averaged relationships between microbial activity and soil characteristics. Different modelling approaches have intended to account for this microscale heterogeneity, based either on considering aggregates as surrogates for microbial habitats, or pores. Innovative modelling approaches are based on an explicit representation of soil structure at the fine scale, i.e. at μm to mm scales: pore architecture and their saturation with water, localization of organic resources and of microorganisms. Three recent models are presented here, that describe the hetero-trophic activity of either bacteria or fungi and are based upon different strategies to represent the complex soil pore system (Mosaic, LBios and μFun). These models allow to hierarchize factors of mi-crobial activity in soil’s heterogeneous architecture. Present limits of these approaches and challenges are presented, regarding the extensive information required on soils at the microscale and to up-scale microbial functioning from the pore to the core scale. Accounting for microbial habitats in modelling soil organic matter dynamics can be based on an explicit representation for the microorganisms’environment
... INRIA Avenue Emile HUgueS 06565 Valbonne FRANCE approximation of the shape of the object whos... more ... INRIA Avenue Emile HUgueS 06565 Valbonne FRANCE approximation of the shape of the object whose vertices Abotract are the measured points. ... Thmoram 1 : Assume without loss of generality that the same vertex has been chosen as an origin on both the convex hull of the ...
International Journal of Pattern Recognition and Artificial Intelligence, Dec 1, 1987
We present a new approach to the segmentation problem by optimizing a criterion which estimates t... more We present a new approach to the segmentation problem by optimizing a criterion which estimates the quality of a segmentation. We use a graph-based description of a partition of an image and a merging strategy based on the optimal use of a sequence of criteria. This method separates the strategy of making use of the segmentation criteria from their definition. An efficient data structure enables our implementation to have a low algorithmic complexity. Our method offers a general framework for solving a large class of segmentation problems. We show how to adapt this method to segment 2-D natural images including color images. This algorithm is also used for segmentation of 3-D images.
... version française english version rss feed. inria-00532665, version 1.Segmentation of complex... more ... version française english version rss feed. inria-00532665, version 1.Segmentation of complex 3-D medical objects, a challenge and a requirement for computer assisted surgery planning and performing. ...
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