Symbolic pixel labeling for curvilinear feature detection
Pattern Recognition Letters
Computer Vision, Graphics, and Image Processing
The adaptive pyramid: a framework for 2D image analysis
CVGIP: Image Understanding
Concavity Detection Using a Binary Mask-Based Approach
SSPR '98/SPR '98 Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Reduction strings: a representation of symbolic hierarchical graphs suitable for learning
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
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This paper presents a new approach for feature extraction based on symbolic hierarchical graphs. We will focus on the construction model, which uses simple rules considering both the graph's structure and the symbols stored in each node. We will also consider some trends to dynamically modify those rules in order to implement a learning process or to be able to adapt the rules to one given problem or to the input image.