Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
International Journal of Computer Vision
Leaf Image Retrieval with Shape Features
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Automatic Recognition of Blooming Flowers
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Representation and Detection of Deformable Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
International Journal of Computer Vision
Component Optimization for Image Understanding: A Bayesian Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A parametric active polygon for leaf segmentation and shape estimation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
IEEE Transactions on Image Processing
Matching shapes with self-intersections: application to leaf classification
IEEE Transactions on Image Processing
A Real-Time Algorithm for the Approximation of Level-Set-Based Curve Evolution
IEEE Transactions on Image Processing
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With the aim of elaborating a mobile application, accessible to anyone and with educational purposes, we present a method for tree species identification that relies on dedicated algorithms and explicit botany-inspired descriptors. Focusing on the analysis of leaves, we developed a working process to help recognize species, starting from a picture of a leaf in a complex natural background. A two-step active contour segmentation algorithm based on a polygonal leaf model processes the image to retrieve the contour of the leaf. Features we use afterwards are high-level geometrical descriptors that make a semantic interpretation possible, and prove to achieve better performance than more generic and statistical shape descriptors alone. We present the results, both in terms of segmentation and classification, considering a database of 50 European broad-leaved tree species, and an implementation of the system is available in the iPhone application Folia.