Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Self-Organizing Maps
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Similarity Retrieval of Trademark Images
IEEE MultiMedia
Hierarchical Growing Cell Structures: TreeGCS
IEEE Transactions on Knowledge and Data Engineering
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
The "El Niño" Image Database System
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
The MPEG-7 visual standard for content description-an overview
IEEE Transactions on Circuits and Systems for Video Technology
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Intellectual property information: A comparative analysis of main information providers
Journal of the American Society for Information Science and Technology
Component-based visual clustering using the self-organizing map
Neural Networks
Hi-index | 0.00 |
This paper describes the experiments used to investigate ways in which digitised trademark images can be visually clustered on a 2-D surface, using the topological properties of the self-organizing map. Experiments were carried out on a set of original and edge detected binary trademark images, as well as their moment invariants, angular radial transformations and wavelet feature vectors. A radial based precision-recall measure was also used to evaluate the results objectively. Initial results are encouraging.