About the impact of pre-processing tools on segmentation methods applied for tree leaves extraction

Abstract

In this paper, we present a comparative study highlighting the improvements provided by pre-processing tools, such as input stroke or use of distance map for segmentation approaches. We propose in particular to highlight new methods for calculating distance map based on the prediction of changes in local color (published by G. Cerutti et al. in ReVeS Participation - Tree Species Classification Using Random Forests and Botanical Features. CLEF 2012). We study differents methods using thresholding, clustering, or even active contours, tested for an issue of tree leaves extraction. The observation criteria, such as Dice index, SSIM or MAD for example, allow us to analyze the performance obtained by each approach and in particular those of the GAC method, which are better for this context.

DOI: 10.5220/0004690405070514

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Cite this paper

@article{GrandBrochier2014AboutTI, title={About the impact of pre-processing tools on segmentation methods applied for tree leaves extraction}, author={Manuel Grand-Brochier and Antoine Vacavant and Robin Strand and Guillaume Cerutti and Laure Tougne}, journal={2014 International Conference on Computer Vision Theory and Applications (VISAPP)}, year={2014}, volume={1}, pages={507-514} }