Title :
Pollen grain information retrieval by neural representation
Author :
De Albuquerque Araujo, Arnaldo ; Claudino, Leonardo Max Batista ; Oliveira, Ricardo Augusto Rabelo
Author_Institution :
NPDI, Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
Abstract :
The purpose of this work is to identify pollen grains from its sample images. Pollen grain recognition is used for the classification of the apiaria samples. In this paper we present an image retrieval technique that is being applied to pollen grain identification, based on querying a database of reference neural networks
Keywords :
biological techniques; biology computing; botany; image classification; image retrieval; neural nets; apiaria sample classification; database querying; image retrieval technique; neural representation; pollen grain identification; pollen grain images; pollen grain information retrieval; pollen grain recognition; reference neural networks; Cameras; Image databases; Image retrieval; Information retrieval; Laboratories; Neural networks; Optical computing; Optical microscopy; Sediments; Spatial databases;
Conference_Titel :
Computer Graphics and Image Processing, 2001 Proceedings of XIV Brazilian Symposium on
Conference_Location :
Florianopolis
Print_ISBN :
0-7695-1330-1
DOI :
10.1109/SIBGRAPI.2001.963104
