Automatic window design for gray-scale image processing based on entropy minimization (2005)
- Authors:
- USP affiliated authors: CESAR JUNIOR, ROBERTO MARCONDES - IME ; BARRERA, JUNIOR - IME ; MARTINS JUNIOR, DAVID CORRÊA - IME
- Unidade: IME
- DOI: 10.1007/11578079_85
- Assunto: PROCESSAMENTO DE IMAGENS
- Keywords: feature vector; feature selection; mutual information; conditional entropy; feature selection algorithm
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Progress in pattern recognition, image analysis and applications : proceedings
- Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
MARTINS JÚNIOR, David Correa e CÉSAR JÚNIOR, Roberto Marcondes e BARRERA, Júnior. Automatic window design for gray-scale image processing based on entropy minimization. 2005, Anais.. Berlin: Springer, 2005. Disponível em: https://doi.org/10.1007/11578079_85. Acesso em: 23 maio 2024. -
APA
Martins Júnior, D. C., César Júnior, R. M., & Barrera, J. (2005). Automatic window design for gray-scale image processing based on entropy minimization. In Progress in pattern recognition, image analysis and applications : proceedings. Berlin: Springer. doi:10.1007/11578079_85 -
NLM
Martins Júnior DC, César Júnior RM, Barrera J. Automatic window design for gray-scale image processing based on entropy minimization [Internet]. Progress in pattern recognition, image analysis and applications : proceedings. 2005 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/11578079_85 -
Vancouver
Martins Júnior DC, César Júnior RM, Barrera J. Automatic window design for gray-scale image processing based on entropy minimization [Internet]. Progress in pattern recognition, image analysis and applications : proceedings. 2005 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/11578079_85 - Time series inference from clustering
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Informações sobre o DOI: 10.1007/11578079_85 (Fonte: oaDOI API)
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