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3D topography by image segmentation approach : application to scanning electron microscopy

Abstract : The aim of this work is to provide a stereo reconstruction method able to estimate the topography of catalysts from SEM images. Standard stereo methods fail to evaluate adequate 3D reconstructions because of the homogeneous surface of these samples. Though particularly pronounced on our catalysts, the lack of texture is a common issue in stereo reconstruction, and no ideal solution has yet been found.Our main approach to this issue is to combine existing stereo methods with the hierarchical segmentation of the sample's images. Indeed, Mathematical Morphology provides efficient tools that divide an image into regions and subregions. We have used these tools to refine and complete the 3D reconstructions.The method we have developed estimates 3D reconstructions that are less noisy and more precise than state of the art methods. The approach also provides additional information: the final segmentation as well as the normal map are interesting data that can be used to refine the understanding of the catalysts.Though this thesis' purpose is very specific, the proposed approach is general.It has been notably used in the Middlebury database which contains images of in-door scenes, and obtained results were comparable and sometimes better than state of the art methods.It could also be extended to other uses. As long as spatial data is combined with an image, our TDSR method can be used to refine it. RGBD images and semantic segmentation are a few potential applications.
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Submitted on : Thursday, July 5, 2018 - 4:39:16 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:13 PM
Long-term archiving on: : Monday, October 1, 2018 - 6:37:15 PM


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  • HAL Id : tel-01831173, version 1


Sébastien Drouyer. 3D topography by image segmentation approach : application to scanning electron microscopy. Image Processing [eess.IV]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLEM052⟩. ⟨tel-01831173⟩



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