| Título |
Morphological Hetero-Associative Memories Applied to Restore True-Color Patterns |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 6th International Symposium on Neural Networks |
| Resumen |
Morphological associative memories (MAMs) are a special type of associative memory which exhibit optimal absolute storage capacity and one-step convergence. This associative model substitutes the additions and multiplications by additions/subtractions and maximums/minimums. This type of associative model has been applied to different pattern recognition problems including face localization and reconstruction of gray scale images. Despite of his power, it has not been applied to problems involving true-color patterns. In this paper we describe how a Morphological Hetero-associative Memory (MHAM) can be applied in problems that involve true-color patterns. In addition, a study of the behavior of this associative model in the reconstruction of true-color images is performed using a benchmark of 14400 images altered by different type of noises. |
| Observaciones |
Advances in Neural Networks – ISNN 2009; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 77071 |
| Lugar |
Wuhan |
| País |
China |
| No. de páginas |
520-529 |
| Vol. / Cap. |
5553 |
| Inicio |
2009-05-26 |
| Fin |
2009-05-29 |
| ISBN/ISSN |
978-3-642-01512-0 |
