Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods
Abstract— Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods. we propose a comparative study of various segmentation methods applied to the extraction of tree leaves from natural images. This study follows the design of a mobile application, developed by Cerutti et al. < Final Yea Projects 2016 > published in ReVeS Participation—Tree Species Classiﬁcation Using Random Forests and Botanical Features. CLEF 2012 , to highlight the impact of the choices made for segmentation aspects. All the tests are based on a database of 232 images of tree leaves depicted on natural background from smartphones acquisitions. We also propose to study the improvements, in terms of performance, using preprocessing tools, such as the interaction between the user and the application through an input stroke, as well as the use of color distance maps.
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