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In this paper, 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. (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. The results presented in this paper shows that the method developed by Cerutti et al. (denoted Guided Active Contour), obtains the best score for almost all observation criteria. Finally, we detail our online benchmark composed of 14 unsupervised methods and 6 supervised ones.

Abstract: Given a discrete eight-connected curve, it can be represented by discrete eight connected segments. In this paper, we try to determine the minimal number of necessary discrete segments. This problem is known as the min DSS problem. We propose to use a generic curve representation by discrete tangents, called a tangential cover which can be computed in linear time. We introduce a series of criteria each having a linear-time complexity to progressively solve the min DSS problem. This results in an optimal algorithm both from the point of view of optimization and of complexity, outperforming the previous quadratic bound. [Copyright &y& Elsevier]

This paper concerns the digital circle recognition problem, especially in the form of the circular separation problem. General fundamentals, based on classical tools, as well as algorithmic details, are given (the latter by providing pseudo-code for major steps of the algorithm). After recalling the geometrical meaning of the separating circle problem, we present an incremental algorithm to segment a discrete curve into digital arcs. [Copyright &y& Elsevier]