Segmentation et analyse géométrique : application aux images tomodensitométriques de bois

Abstract : The non-destructive study of wood from X-Ray CT scanners requires to imagine new solutions adapted to analysis of images. Relating both agronomic research and industrial sector of sawmills, segmentation of wood knots is a major challenge in terms of robustness to specificities of each species and to image acquisition conditions. The works carried out in this thesis allow to propose a segmentation process in two phases. It first isolates each knot in a reduced area then it segments the unique knot of each area. Proposed solutions for each phase allow to integrate knowledges about internal organization of trunk and mechanisms inherent to its growth, through classical tools of image analysis and processing. The first phase is essentially based on a movement detection principle borrowed from video analysis and revisited. Two segmentation approaches are then proposed, considering for one the initial CT slices and for the other news slices resampled for each knot orthogonally to its trajectory. The complete process has been implemented in a software dedicated both for experimentation and validation of approach, and to interdisciplinary dialogs. The applicative support of wood emphasizes the specialization abilities of generic image analysis and processing algorithms, and the relevance to integrate priori knowledges in this perspective
Document type :
Theses
Complete list of metadatas

Cited literature [76 references]  Display  Hide  Download

https://hal.univ-lorraine.fr/tel-01751318
Contributor : Thèses Ul <>
Submitted on : Thursday, March 29, 2018 - 1:16:06 PM
Last modification on : Tuesday, April 24, 2018 - 1:30:13 PM

File

DDOC_T_2014_0276_KRAHENBUHL.pd...
Files produced by the author(s)

Identifiers

  • HAL Id : tel-01751318, version 1

Collections

Citation

Adrien Krähenbühl. Segmentation et analyse géométrique : application aux images tomodensitométriques de bois. Autre [cs.OH]. Université de Lorraine, 2014. Français. ⟨NNT : 2014LORR0276⟩. ⟨tel-01751318⟩

Share

Metrics

Record views

32

Files downloads

74