Image retrieval based on wavelet computation and neural network classification

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3 Citas (Scopus)

Resumen

We describe a simple way to retrieve images from a database. During training a wavelet-based description of the histogram of circular window of each image is first obtained using Daubechies 4-wavelet transformation. Resulting coefficients are used to train a neural network (NN). For image retrieval an image is presented to the system. The system responds with the most similar images. Results are given two different databases. With first database a 98.44% of efficiency with training images was obtained; a 50 % was obtained with images different from those used for training. With the second database corresponding efficiencies were of 88% and 64%.

Idioma originalInglés
Título de la publicación alojada8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
EditorialIEEE Computer Society
Páginas44
Número de páginas1
ISBN (versión impresa)076952818X, 9780769528182
DOI
EstadoPublicada - 2007
Evento8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007 - Santorini, Grecia
Duración: 6 jun. 20078 jun. 2007

Serie de la publicación

Nombre8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007

Conferencia

Conferencia8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
País/TerritorioGrecia
CiudadSantorini
Período6/06/078/06/07

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