Multiscale image understanding
Parallel computer vision
Behavior of Edges in Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Authenticating Edges Produced by Zero-Crossing Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluating digital angles by a parallel diffusion process
Pattern Recognition Letters
Constructing deterministic finite-state automata in recurrent neural networks
Journal of the ACM (JACM)
Numerical Similarity and Dissimilarity Measures Between Two Trees
IEEE Transactions on Computers
Probabilistic Multiscale Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Selection of Natural Scales in 2D Images Using Adaptive Gabor Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space Derived From B-Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Hierarchical Structures Using Association Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
A System for Approximate Tree Matching
IEEE Transactions on Knowledge and Data Engineering
Efficient Subgraph Isomorphism Detection: A Decomposition Approach
IEEE Transactions on Knowledge and Data Engineering
Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Silhouette-Based Isolated Object Recognition through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Exhaustive Robust Matching
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Tree Systems for Syntactic Pattern Recognition
IEEE Transactions on Computers
Object recognition by recursive learning of multiscale trees
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
Stochastic models for closed boundary analysis: Representation and reconstruction
IEEE Transactions on Information Theory
Image segmentation and analysis via multiscale gradient watershed hierarchies
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
Multiscale corner detection by using wavelet transform
IEEE Transactions on Image Processing
Supervised neural networks for the classification of structures
IEEE Transactions on Neural Networks
A general framework for adaptive processing of data structures
IEEE Transactions on Neural Networks
A recurrent self-organizing neural fuzzy inference network
IEEE Transactions on Neural Networks
Encoding nondeterministic fuzzy tree automata into recursive neural networks
IEEE Transactions on Neural Networks
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The paper reports an efficient and fully parallel 2D shape recognition method based on the use of a multiscale tree representation of the shape boundary and recursive learning of trees. Specifically, the shape is represented by means of a tree where each node, corresponding to a boundary segment at some level of resolution, is characterized by a real vector containing curvature, length, symmetry of the boundary segment, while the nodes are connected by arcs when segments at successive levels are spatially related. The recognition procedure is formulated as a training procedure made by a Fuzzy recursive neural network followed by a testing procedure over unknown tree structured patterns. The proposed neural network model is able to facilitate the exchange of information between symbolic and sub-symbolic domains and deal with structured organization of information, that is typically required by symbolic processing.