DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system

S. Calderon, A. Saenz, R. Mora, F. Siles, I. Orozco, M. E. Buemi

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

7 Citas (Scopus)

Resumen

This paper presents a new image abstraction approach, aiming to improve typical image related pattern recognition tasks such as segmentation, tracking, and classification. The proposed image abstraction framework performs image denoising and homogeneous region simplification, along with border and region enhancement. The proposed framework consists in a novel generalized approach of common weighted averaging denoising algorithms mixed with Unsharp Masking (USM) border enhancement techniques, to avoid typical USM artifacts as ringing. Results of the different configurations within the image abstraction framework for a cell tracking application are presented.

Idioma originalInglés
Título de la publicación alojadaIWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence
Subtítulo de la publicación alojadaIntelligent Systems for Biodiversity Conservation, Proceedings
EditoresKarmele Lopez de Ipina, Carlos Manuel Travieso-Gonzalez, Jesus B. Alonso-Hernandez
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas81-88
Número de páginas8
ISBN (versión digital)9781479961740
DOI
EstadoPublicada - 15 jul 2015
Publicado de forma externa
Evento4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015 - San Sebastian, Espana
Duración: 9 jun 201512 jun 2015

Serie de la publicación

NombreIWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings

Conferencia

Conferencia4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015
País/TerritorioEspana
CiudadSan Sebastian
Período9/06/1512/06/15

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