Reverse image search for scientific data within and beyond the visible spectrum.
dc.contributor.author | Araujo, Flavio Henrique Duarte de | |
dc.contributor.author | Silva, Romuere Rodrigues Veloso e | |
dc.contributor.author | Medeiros, Fátima Nelsizeuma Sombra de | |
dc.contributor.author | Parkinson, Dilworth Dula | |
dc.contributor.author | Hexemer, Alexander | |
dc.contributor.author | Carneiro, Cláudia Martins | |
dc.contributor.author | Ushizima, Daniela Mayumi | |
dc.date.accessioned | 2019-03-27T16:32:11Z | |
dc.date.available | 2019-03-27T16:32:11Z | |
dc.date.issued | 2018 | |
dc.description.abstract | The explosion in the rate, quality and diversity of image acquisition instruments has propelled the de- velopment of expert systems to organize and query image collections more efficiently. Recommendation systems that handle scientific images are rare, particularly if records lack metadata. This paper intro- duces new strategies to enable fast searches and image ranking from large pictorial datasets with or without labels. The main contribution is the development of pyCBIR , a deep neural network software to search scientific images by content. This tool exploits convolutional layers with locality sensitivity hashing for querying images across domains through a user-friendly interface. Our results report image searches over databases ranging from thousands to millions of samples. We test pyCBIR search capabilities using three convNets against four scientific datasets, including samples from cell microscopy, microtomography, atomic diffraction patterns, and materials photographs to demonstrate 95% accurate recommendations in most cases. Furthermore, all scientific data collections are released. | pt_BR |
dc.identifier.citation | ARAUJO, F. H. D. de et al. Reverse image search for scientific data within and beyond the visible spectrum. Expert Systems with Applications, v. 109, p. 35-48, nov. 2018. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0957417418302987>. Acesso em: 21 fev. 2019. | pt_BR |
dc.identifier.issn | 09574174 | |
dc.identifier.uri | http://www.repositorio.ufop.br/handle/123456789/10837 | |
dc.identifier.uri2 | https://www.sciencedirect.com/science/article/pii/S0957417418302987?via%3Dihub#! | pt_BR |
dc.language.iso | en_US | pt_BR |
dc.rights | restrito | pt_BR |
dc.subject | Content-based image retrieval | pt_BR |
dc.subject | Convolutional neural network | pt_BR |
dc.subject | Scientific image recommendation | pt_BR |
dc.title | Reverse image search for scientific data within and beyond the visible spectrum. | pt_BR |
dc.type | Artigo publicado em periodico | pt_BR |
Arquivos
Pacote Original
1 - 1 de 1
Nenhuma Miniatura disponível
- Nome:
- ARTIGO_ReverseImageSearch.pdf
- Tamanho:
- 6.22 MB
- Formato:
- Adobe Portable Document Format
Licença do Pacote
1 - 1 de 1
Nenhuma Miniatura disponível
- Nome:
- license.txt
- Tamanho:
- 924 B
- Formato:
- Item-specific license agreed upon to submission
- Descrição: