3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with Segmentation Algorithms
Abstract
In this report, we present a 3D simulator for the numerical validation of segmentation algorithms for seedling in soil from X-ray or MRI. A 3D simulator of root in elongation is coupled to a simulator of the image acquisition to generate images of simulated seedling associated with a known synthetic ground truth. We detail how acquisition parameters of the seedling and parameters of the imaging systems are estimated and combined to produce realistic images. The resulting simulator is available on line to open the possibility of segmentation challenges with in silic o validation based on unlimited number of seedling.
Cite
Text
Benoit et al. "3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with Segmentation Algorithms." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-16220-1_10Markdown
[Benoit et al. "3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with Segmentation Algorithms." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/benoit2014eccv-d/) doi:10.1007/978-3-319-16220-1_10BibTeX
@inproceedings{benoit2014eccv-d,
title = {{3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with Segmentation Algorithms}},
author = {Benoit, Landry and Semaan, Georges and Franconi, Florence and Belin, Étienne and Chapeau-Blondeau, François and Demilly, Didier and Rousseau, David},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {131-139},
doi = {10.1007/978-3-319-16220-1_10},
url = {https://mlanthology.org/eccv/2014/benoit2014eccv-d/}
}