About the Impact of Pre-processing Tools on Segmentation Methods, Applied for Tree Leaves Extraction

Manuel Grand-Brochier (1) , Antoine Vacavant (1) , Robin Strand , Guillaume Cerutti (2) , Laure Tougne (2, 3)

1 ISIT - Image Science for Interventional Techniques
2 M2DisCo - Geometry Processing and Constrained Optimization
3 imagine - Extraction de Caractéristiques et Identification

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.

Domaines: Informatique [cs]

Manuel Grand-Brochier, Antoine Vacavant, Robin Strand, Guillaume Cerutti, Laure Tougne. About the Impact of Pre-processing Tools on Segmentation Methods, Applied for Tree Leaves Extraction. 9th International Conference on Computer Vision Theory and Applications (VISAPP), Jan 2014, Lisbon, Portugal. pp.1-10. ⟨hal-01270783⟩