Search results for "analyse d’image"

showing 2 items of 2 documents

Segmentation automatique et analyse de forme d'hippocampes humains dans l'étude de la maladie d'Alzheimer

2011

The aim of this thesis is to investigate the shape change in hippocampus due to the atrophy in Alzheimer’s disease (AD). To this end, specific algorithms and methodologies were developed to segment the hippocampus from structural magnetic resonance (MR) images and model variations in its shape. We use a multi-atlas based segmentation propagation approach for the segmentation of hippocampus which has been shown to obtain accurate parcellation of brain structures. We developed a supervised method to build a population specific atlas database, by propagating the parcellations from a smaller generic atlas database. Well segmented images are inspected and added to the set of atlases, such that t…

Shape Analysis[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyHippocampeAnalyse d’images[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Image AnalysisMaladie d’AlzheimerImage SegmentationHippocampus[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Analyse de formeMedical ImagingSegmentation basée sur multiple atlasSegmentation d’image[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathology[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Modèle de forme statistiqueAlzheimer’s DiseaseStatistical Shape ModelMulti-atlas based segmentation[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyImagerie médicale
researchProduct

Approche multi-critère pour la caractérisation des adventices

2022

The objective of this thesis is to develop a way to detect weeds in a field using multispectral images, in order to determine which weeds should be eliminated during the current crop cycle and more particularly at the early stages. The multi-criteria approach focuses on the spatial arrangement, the spec- tral signature, the morphology and the tex- ture of the plants located in the plots. This work proposes a method for selecting the best criteria for optimal discrimination for a given setup. Prior to the extraction of these crite- ria, a set of methods was developed in order to correct the errors of the acquisition de- vice, to precisely detect the vegetation and then to identify within the…

[SDV] Life Sciences [q-bio]precision agricultureintelligence artificiellestatistiquesimage analysisstatisticsvision par ordinateuranalyse d’imageprédictionpredictionagriculture de précisionartificial intelligencecomputer vision
researchProduct