Publications
2016
1.
Azzopardi, George; Fernández-Robles, Laura; Alegre, Enrique; Petkov, Nicolai
Increased generalization capability of trainable cosfire filters with application to machine vision Artículo de revista
En: 2016 23rd International Conference on Pattern Recognition (ICPR), pp. 3356–3361, 2016, (Publisher: IEEE).
Resumen | Enlaces | BibTeX | Etiquetas: COSFIRE Filters, Genetic Algorithm, Image classification, Pattern Recognition
@article{azzopardi_increased_2016,
title = {Increased generalization capability of trainable cosfire filters with application to machine vision},
author = {George Azzopardi and Laura Fernández-Robles and Enrique Alegre and Nicolai Petkov},
url = {https://ieeexplore.ieee.org/abstract/document/7900152},
year = {2016},
date = {2016-01-01},
journal = {2016 23rd International Conference on Pattern Recognition (ICPR)},
pages = {3356–3361},
abstract = {This paper proposes an optimization for COSFIRE filters using a genetic algorithm to select the best contour parts for pattern recognition. The optimized COSFIRE filters, tested on a dataset of milling machine images, showed improved precision (P = 91.99%) and recall (R = 96.22%) compared to the original version, enhancing efficiency and generalization while maintaining selectivity.},
note = {Publisher: IEEE},
keywords = {COSFIRE Filters, Genetic Algorithm, Image classification, Pattern Recognition},
pubstate = {published},
tppubtype = {article}
}
This paper proposes an optimization for COSFIRE filters using a genetic algorithm to select the best contour parts for pattern recognition. The optimized COSFIRE filters, tested on a dataset of milling machine images, showed improved precision (P = 91.99%) and recall (R = 96.22%) compared to the original version, enhancing efficiency and generalization while maintaining selectivity.