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. |
Year | DOI | Venue |
---|---|---|
2001 | 10.1109/SIBGRAPI.2001.963104 | SIBGRAPI |
Keywords | Field | DocType |
botany,optical microscopy,optical computing,neural nets,image classification,neural network,sediments,image retrieval,information retrieval,neural networks | Automatic image annotation,Information retrieval,Computer science,Image retrieval,Pollen,Artificial neural network,Contextual image classification | Conference |
ISBN | Citations | PageRank |
0-7695-1330-1 | 0 | 0.34 |
References | Authors | |
1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arnaldo de Albuquerque Araújo | 1 | 0 | 0.34 |
Leonardo Max Batista Claudino | 2 | 0 | 0.34 |
Ricardo A. R. Oliveira | 3 | 25 | 9.52 |