Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
Understanding Shape: Angles and Sides
IEEE Transactions on Computers
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Utilizing venation features for efficient leaf image retrieval
Journal of Systems and Software
New Frontiers in Applied Data Mining
EuroIMSA '08 Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications
Supervised Isomap for plant leaf image classification
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Grassland species characterization for plant family discrimination by image processing
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
HOG-based approach for leaf classification
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Feature extraction and XML representation of plant leaf for image retrieval
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Recognition of leaf images based on shape features using a hypersphere classifier
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Plant classification based on multilinear independent component analysis
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Advanced shape context for plant species identification using leaf image retrieval
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
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In this paper, a method for recognizing plant species by the shapes of leaves of plants is presented. The recognition is based on a hierarchical representation of shape features. First, the structures of the shapes of leaves are analyzed and the shapes of components are extracted in detail. The structures and detailed shapes of leaves are approximated by polygons whose vertices are critical points of curvature of contours of leaves. The method takes variations of shapes of leaves of the same species into account also. Experimental results using a number of species in the family of Acer (Maple) indicate that structures of leaves and shapes of their components can be considered as landmarks to recognize the species of plants.