The metric histogram: a new and efficient approach for content-base image retrieval (2002)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; BUENO, JOSIANE MARIA - ICMC ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP
- Unidades: ICMC; FMRP
- Assunto: RECONHECIMENTO DE PADRÕES
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Visual and Multimedia Information Management
- Conference titles: IFIP Working Conference on Visual Database Systems
-
ABNT
TRAINA, Agma Juci Machado et al. The metric histogram: a new and efficient approach for content-base image retrieval. 2002, Anais.. Norwell: Kluwer, 2002. . Acesso em: 19 abr. 2024. -
APA
Traina, A. J. M., Traina Júnior, C., Bueno, J. M., & Marques, P. M. de A. (2002). The metric histogram: a new and efficient approach for content-base image retrieval. In Visual and Multimedia Information Management. Norwell: Kluwer. -
NLM
Traina AJM, Traina Júnior C, Bueno JM, Marques PM de A. The metric histogram: a new and efficient approach for content-base image retrieval. Visual and Multimedia Information Management. 2002 ;[citado 2024 abr. 19 ] -
Vancouver
Traina AJM, Traina Júnior C, Bueno JM, Marques PM de A. The metric histogram: a new and efficient approach for content-base image retrieval. Visual and Multimedia Information Management. 2002 ;[citado 2024 abr. 19 ] - Efficient content-based image retrieval through metric histograms
- cbPACS: PACS com suporte à recuperação de imagens médicas baseada em conteúdo
- Using an image-extended relational database to support content-based image retrieval in a PACS
- Content-based retrieval of medical images: from context to perception
- Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge
- The metric histogram: a new and efficient approach for content-based image retrieval
- Recuperação de imagem baseada em conteúdo: uso de atributos de textura para caracterização de microcalcificações mamográficas
- SuGAR: a framework to support mammogram diagnosis
- Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques
- PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles
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