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Artigo de periodico
Two-dimensional mustiscale entropy analysis: applications to image texture evaluation (2018)
Silva, Luiz Eduardo Virgilio da; Duque, Juliano J.; Felipe, Joaquim Cezar; Murta Júnior, Luiz Otávio; Humeau-Heurtier, Anne
Source: Signal Processing. Unidades: ICMC, FFCLRP
Subjects: PROCESSAMENTO DE IMAGENS, ENTROPIA, ALGORITMOS PARA IMAGENS
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ABNT
SILVA, Luiz Eduardo Virgilio da et al. Two-dimensional mustiscale entropy analysis: applications to image texture evaluation. Signal Processing, v. 147, p. 224-232, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.sigpro.2018.02.004. Acesso em: 19 abr. 2024.
APA
Silva, L. E. V. da, Duque, J. J., Felipe, J. C., Murta Júnior, L. O., & Humeau-Heurtier, A. (2018). Two-dimensional mustiscale entropy analysis: applications to image texture evaluation. Signal Processing, 147, 224-232. doi:10.1016/j.sigpro.2018.02.004
NLM
Silva LEV da, Duque JJ, Felipe JC, Murta Júnior LO, Humeau-Heurtier A. Two-dimensional mustiscale entropy analysis: applications to image texture evaluation [Internet]. Signal Processing. 2018 ; 147 224-232.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.sigpro.2018.02.004
Vancouver
Silva LEV da, Duque JJ, Felipe JC, Murta Júnior LO, Humeau-Heurtier A. Two-dimensional mustiscale entropy analysis: applications to image texture evaluation [Internet]. Signal Processing. 2018 ; 147 224-232.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.sigpro.2018.02.004
Artigo de periodico
Three-dimensional connectivity index for texture recognition (2016)
Florindo, João B.; Landini, Gabriel; Bruno, Odemir Martinez
Source: Pattern Recognition Letters. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA, IMAGEM
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ABNT
FLORINDO, João B. e LANDINI, Gabriel e BRUNO, Odemir Martinez. Three-dimensional connectivity index for texture recognition. Pattern Recognition Letters, v. 84, p. 239-244, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2016.09.013. Acesso em: 19 abr. 2024.
APA
Florindo, J. B., Landini, G., & Bruno, O. M. (2016). Three-dimensional connectivity index for texture recognition. Pattern Recognition Letters, 84, 239-244. doi:10.1016/j.patrec.2016.09.013
NLM
Florindo JB, Landini G, Bruno OM. Three-dimensional connectivity index for texture recognition [Internet]. Pattern Recognition Letters. 2016 ; 84 239-244.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patrec.2016.09.013
Vancouver
Florindo JB, Landini G, Bruno OM. Three-dimensional connectivity index for texture recognition [Internet]. Pattern Recognition Letters. 2016 ; 84 239-244.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patrec.2016.09.013
Artigo de periodico
Texture recognition based on diffusion in networks (2016)
Gonçalves, Wesley Nunes; Silva, Núbia Rosa da; Costa, Luciano da Fontoura; Bruno, Odemir Martinez
Source: Information Sciences. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS
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ABNT
GONÇALVES, Wesley Nunes et al. Texture recognition based on diffusion in networks. Information Sciences, v. 364-365, p. 51-71, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.04.052. Acesso em: 19 abr. 2024.
APA
Gonçalves, W. N., Silva, N. R. da, Costa, L. da F., & Bruno, O. M. (2016). Texture recognition based on diffusion in networks. Information Sciences, 364-365, 51-71. doi:10.1016/j.ins.2016.04.052
NLM
Gonçalves WN, Silva NR da, Costa L da F, Bruno OM. Texture recognition based on diffusion in networks [Internet]. Information Sciences. 2016 ; 364-365 51-71.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2016.04.052
Vancouver
Gonçalves WN, Silva NR da, Costa L da F, Bruno OM. Texture recognition based on diffusion in networks [Internet]. Information Sciences. 2016 ; 364-365 51-71.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2016.04.052
Artigo de periodico
Spatio-spectral networks for color-texture analysis (2020)
Scabini, Leonardo Felipe dos Santos ; Ribas, Lucas Correia ; Bruno, Odemir Martinez
Source: Information Sciences. Unidades: IFSC, ICMC
Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS
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ABNT
SCABINI, Leonardo Felipe dos Santos e RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Spatio-spectral networks for color-texture analysis. Information Sciences, v. 515, p. 64-79, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.11.042. Acesso em: 19 abr. 2024.
APA
Scabini, L. F. dos S., Ribas, L. C., & Bruno, O. M. (2020). Spatio-spectral networks for color-texture analysis. Information Sciences, 515, 64-79. doi:10.1016/j.ins.2019.11.042
NLM
Scabini LF dos S, Ribas LC, Bruno OM. Spatio-spectral networks for color-texture analysis [Internet]. Information Sciences. 2020 ; 515 64-79.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2019.11.042
Vancouver
Scabini LF dos S, Ribas LC, Bruno OM. Spatio-spectral networks for color-texture analysis [Internet]. Information Sciences. 2020 ; 515 64-79.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2019.11.042
Artigo de periodico
Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance (2016)
Frighetto-Pereira, Lucas; Rangayyan, Rangaraj Mandayam; Metzner, Guilherme Augusto; Azevedo-Marques, Paulo Mazzoncini de; Nogueira-Barbosa, Marcello Henrique
Source: Computers in Biology and Medicine. Unidade: FMRP
Subjects: DIAGNÓSTICO POR COMPUTADOR, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA, ANÁLISE ESTATÍSTICA DE DADOS, COLUNA VERTEBRAL, FRATURAS
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ABNT
FRIGHETTO-PEREIRA, Lucas et al. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, v. 73, p. 147-156, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2016.04.006. Acesso em: 19 abr. 2024.
APA
Frighetto-Pereira, L., Rangayyan, R. M., Metzner, G. A., Azevedo-Marques, P. M. de, & Nogueira-Barbosa, M. H. (2016). Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, 73, 147-156. doi:10.1016/j.compbiomed.2016.04.006
NLM
Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006
Vancouver
Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006
Artigo de periodico
Randomized neural network based signature for color texture classification prism dimension (2019)
Sá Junior, Jarbas Joaci de Mesquita; Backes, André Ricardo; Bruno, Odemir Martinez
Source: Multidimensional Systems and Signal Processing. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA
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ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André Ricardo e BRUNO, Odemir Martinez. Randomized neural network based signature for color texture classification prism dimension. Multidimensional Systems and Signal Processing, v. 30, n. 3, p. 1171-1186, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11045-018-0600-6. Acesso em: 19 abr. 2024.
APA
Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2019). Randomized neural network based signature for color texture classification prism dimension. Multidimensional Systems and Signal Processing, 30( 3), 1171-1186. doi:10.1007/s11045-018-0600-6
NLM
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for color texture classification prism dimension [Internet]. Multidimensional Systems and Signal Processing. 2019 ; 30( 3): 1171-1186.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/s11045-018-0600-6
Vancouver
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for color texture classification prism dimension [Internet]. Multidimensional Systems and Signal Processing. 2019 ; 30( 3): 1171-1186.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/s11045-018-0600-6
Artigo de periodico
RADAM: texture recognition through randomized aggregated encoding of deep activation maps (2023)
Scabini, Leonardo Felipe dos Santos ; Zielinski, Kallil Miguel Caparroz; Ribas, Lucas Correia ; Gonçalves, Wesley Nunes ; Baets, Bernard De ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
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ABNT
SCABINI, Leonardo Felipe dos Santos et al. RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, v. No 2023, p. 109802-1-109802-13 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109802. Acesso em: 19 abr. 2024.
APA
Scabini, L. F. dos S., Zielinski, K. M. C., Ribas, L. C., Gonçalves, W. N., Baets, B. D., & Bruno, O. M. (2023). RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, No 2023, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109802
NLM
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
Vancouver
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
Trabalho de evento-anais periodico
Pap-smear image classification using randomized neural network based signature (2018)
Sá Junior, Jarbas Joaci de Mesquita; Backes, André R.; Bruno, Odemir Martinez
Source: Lecture Notes in Computer Science - LNCS. Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: IFSC
Subjects: PROCESSAMENTO DE IMAGENS, REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL
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ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André R. e BRUNO, Odemir Martinez. Pap-smear image classification using randomized neural network based signature. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-319-75193-1_81. Acesso em: 19 abr. 2024. , 2018
APA
Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2018). Pap-smear image classification using randomized neural network based signature. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-319-75193-1_81
NLM
Sá Junior JJ de M, Backes AR, Bruno OM. Pap-smear image classification using randomized neural network based signature [Internet]. Lecture Notes in Computer Science - LNCS. 2018 ; 10657 677-684.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_81
Vancouver
Sá Junior JJ de M, Backes AR, Bruno OM. Pap-smear image classification using randomized neural network based signature [Internet]. Lecture Notes in Computer Science - LNCS. 2018 ; 10657 677-684.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_81
Artigo de periodico
Multilayer complex network descriptors for color-texture characterization (2019)
Scabini, Leonardo F. S.; Condori, Rayner H. M.; Gonçalves, Wesley N.; Bruno, Odemir Martinez
Source: Information Sciences. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS, EQUAÇÃO DE SCHRODINGER, TEXTURA
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ABNT
SCABINI, Leonardo F. S. et al. Multilayer complex network descriptors for color-texture characterization. Information Sciences, v. 491, p. 30-47, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.02.060. Acesso em: 19 abr. 2024.
APA
Scabini, L. F. S., Condori, R. H. M., Gonçalves, W. N., & Bruno, O. M. (2019). Multilayer complex network descriptors for color-texture characterization. Information Sciences, 491, 30-47. doi:10.1016/j.ins.2019.02.060
NLM
Scabini LFS, Condori RHM, Gonçalves WN, Bruno OM. Multilayer complex network descriptors for color-texture characterization [Internet]. Information Sciences. 2019 ; 491 30-47.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2019.02.060
Vancouver
Scabini LFS, Condori RHM, Gonçalves WN, Bruno OM. Multilayer complex network descriptors for color-texture characterization [Internet]. Information Sciences. 2019 ; 491 30-47.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2019.02.060
Dissertação (Mestrado)
Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas (2017)
Machado, Leonardo Ferreira; Murta Junior, Luis Otavio (Orientador)
Unidade: FFCLRP
Subjects: BIOFÍSICA, TEXTURA, RESSONÂNCIA MAGNÉTICA, APRENDIZADO COMPUTACIONAL
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ABNT
MACHADO, Leonardo Ferreira. Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas. 2017. Dissertação (Mestrado) – Universidade de São Paulo, Ribeirão Preto, 2017. Disponível em: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/. Acesso em: 19 abr. 2024.
APA
Machado, L. F. (2017). Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas (Dissertação (Mestrado). Universidade de São Paulo, Ribeirão Preto. Recuperado de http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/
NLM
Machado LF. Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas [Internet]. 2017 ;[citado 2024 abr. 19 ] Available from: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/
Vancouver
Machado LF. Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas [Internet]. 2017 ;[citado 2024 abr. 19 ] Available from: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/
Artigo de periodico
Intraoral radiographs texture analysis for dental implant planning (2016)
Mundim, Mayara B. V.; Dias, Danilo R.; Costa, Ronaldo M.; Leles, Cláudio R.; Azevedo-Marques, Paulo Mazzoncini de; Ribeiro-Rotta, Rejane Faria
Source: Computer Methods and Programs in Biomedicine. Unidade: FMRP
Subjects: IMPLANTES DENTÁRIOS, DIAGNÓSTICO POR COMPUTADOR, PROCESSAMENTO DE IMAGENS
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ABNT
MUNDIM, Mayara B. V. et al. Intraoral radiographs texture analysis for dental implant planning. Computer Methods and Programs in Biomedicine, v. 136, p. 89-96, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2016.08.012. Acesso em: 19 abr. 2024.
APA
Mundim, M. B. V., Dias, D. R., Costa, R. M., Leles, C. R., Azevedo-Marques, P. M. de, & Ribeiro-Rotta, R. F. (2016). Intraoral radiographs texture analysis for dental implant planning. Computer Methods and Programs in Biomedicine, 136, 89-96. doi:10.1016/j.cmpb.2016.08.012
NLM
Mundim MBV, Dias DR, Costa RM, Leles CR, Azevedo-Marques PM de, Ribeiro-Rotta RF. Intraoral radiographs texture analysis for dental implant planning [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 136 89-96.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.cmpb.2016.08.012
Vancouver
Mundim MBV, Dias DR, Costa RM, Leles CR, Azevedo-Marques PM de, Ribeiro-Rotta RF. Intraoral radiographs texture analysis for dental implant planning [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 136 89-96.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.cmpb.2016.08.012
Artigo de periodico
Interactions between UV filters and active substances in emulsion: effect on microstructure, physicochemical and in-vivo properties (2018)
Calixto, Lívia Salomão ; Maia-Campos, Patrícia Maria Berardo G ; Savary, Géraldine; Picard, Céline
Source: International Journal of Pharmaceutics. Unidade: FCFRP
Subjects: REOLOGIA, TEXTURA
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ABNT
CALIXTO, Lívia Salomão et al. Interactions between UV filters and active substances in emulsion: effect on microstructure, physicochemical and in-vivo properties. International Journal of Pharmaceutics, v. 553, n. 1-2, p. 220-228, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijpharm.2018.10.027. Acesso em: 19 abr. 2024.
APA
Calixto, L. S., Maia-Campos, P. M. B. G., Savary, G., & Picard, C. (2018). Interactions between UV filters and active substances in emulsion: effect on microstructure, physicochemical and in-vivo properties. International Journal of Pharmaceutics, 553( 1-2), 220-228. doi:10.1016/j.ijpharm.2018.10.027
NLM
Calixto LS, Maia-Campos PMBG, Savary G, Picard C. Interactions between UV filters and active substances in emulsion: effect on microstructure, physicochemical and in-vivo properties [Internet]. International Journal of Pharmaceutics. 2018 ; 553( 1-2): 220-228.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ijpharm.2018.10.027
Vancouver
Calixto LS, Maia-Campos PMBG, Savary G, Picard C. Interactions between UV filters and active substances in emulsion: effect on microstructure, physicochemical and in-vivo properties [Internet]. International Journal of Pharmaceutics. 2018 ; 553( 1-2): 220-228.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ijpharm.2018.10.027
Artigo de periodico
Improving texture extraction and classification using smoothed morphological operators (2018)
Barros Neiva, Mariane; Vacavant, Antoine; Bruno, Odemir Martinez
Source: Digital Signal Processing. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS
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ABNT
BARROS NEIVA, Mariane e VACAVANT, Antoine e BRUNO, Odemir Martinez. Improving texture extraction and classification using smoothed morphological operators. Digital Signal Processing, v. 83, p. 24-34, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2018.06.001. Acesso em: 19 abr. 2024.
APA
Barros Neiva, M., Vacavant, A., & Bruno, O. M. (2018). Improving texture extraction and classification using smoothed morphological operators. Digital Signal Processing, 83, 24-34. doi:10.1016/j.dsp.2018.06.001
NLM
Barros Neiva M, Vacavant A, Bruno OM. Improving texture extraction and classification using smoothed morphological operators [Internet]. Digital Signal Processing. 2018 ; 83 24-34.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.dsp.2018.06.001
Vancouver
Barros Neiva M, Vacavant A, Bruno OM. Improving texture extraction and classification using smoothed morphological operators [Internet]. Digital Signal Processing. 2018 ; 83 24-34.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.dsp.2018.06.001
Artigo de periodico
Improved wood species identification based on multi-view imagery of the three anatomical planes (2022)
Silva, Núbia Rosa da ; Deklerck, Victor; Baetens, Jan M.; Bulcke, Jan Van den; Ridder, Maaike De; Rousseau, Mélissa; Bruno, Odemir Martinez ; Beeckman, Hans; Acker, Joris Van; Baets, Bernard De; Verwaeren, Jan
Source: Plant Methods. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, IMAGEM, MADEIRA
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ABNT
SILVA, Núbia Rosa da et al. Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, v. 18, n. 1, p. 79-1-79-17, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13007-022-00910-1. Acesso em: 19 abr. 2024.
APA
Silva, N. R. da, Deklerck, V., Baetens, J. M., Bulcke, J. V. den, Ridder, M. D., Rousseau, M., et al. (2022). Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, 18( 1), 79-1-79-17. doi:10.1186/s13007-022-00910-1
NLM
Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
Vancouver
Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
Artigo de periodico
Importance of vertices in complex networks applied to texture analysis (2020)
Cantero, Sávio Vinícius Albieri Barone; Gonçalves, Diogo Nunes; Scabini, Leonardo Felipe dos Santos ; Gonçalves, Wesley Nunes
Source: IEEE Transactions on Cybernetics. Unidade: IFSC
Subjects: TEXTURA, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS
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ABNT
CANTERO, Sávio Vinícius Albieri Barone et al. Importance of vertices in complex networks applied to texture analysis. IEEE Transactions on Cybernetics, v. 50, n. 2, p. 777-786, 2020Tradução . . Disponível em: https://doi.org/10.1109/TCYB.2018.2873135. Acesso em: 19 abr. 2024.
APA
Cantero, S. V. A. B., Gonçalves, D. N., Scabini, L. F. dos S., & Gonçalves, W. N. (2020). Importance of vertices in complex networks applied to texture analysis. IEEE Transactions on Cybernetics, 50( 2), 777-786. doi:10.1109/TCYB.2018.2873135
NLM
Cantero SVAB, Gonçalves DN, Scabini LF dos S, Gonçalves WN. Importance of vertices in complex networks applied to texture analysis [Internet]. IEEE Transactions on Cybernetics. 2020 ; 50( 2): 777-786.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/TCYB.2018.2873135
Vancouver
Cantero SVAB, Gonçalves DN, Scabini LF dos S, Gonçalves WN. Importance of vertices in complex networks applied to texture analysis [Internet]. IEEE Transactions on Cybernetics. 2020 ; 50( 2): 777-786.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/TCYB.2018.2873135
Artigo de periodico
Fusion of complex networks and randomized neural networks for texture analysis (2020)
Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Scabini, Leonardo Felipe dos Santos ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
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ABNT
RIBAS, Lucas Correia et al. Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognition, v. 103, p. 107189-1-107189-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2019.107189. Acesso em: 19 abr. 2024.
APA
Ribas, L. C., Sá Júnior, J. J. de M., Scabini, L. F. dos S., & Bruno, O. M. (2020). Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognition, 103, 107189-1-107189-10. doi:10.1016/j.patcog.2019.107189
NLM
Ribas LC, Sá Júnior JJ de M, Scabini LF dos S, Bruno OM. Fusion of complex networks and randomized neural networks for texture analysis [Internet]. Pattern Recognition. 2020 ; 103 107189-1-107189-10.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patcog.2019.107189
Vancouver
Ribas LC, Sá Júnior JJ de M, Scabini LF dos S, Bruno OM. Fusion of complex networks and randomized neural networks for texture analysis [Internet]. Pattern Recognition. 2020 ; 103 107189-1-107189-10.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patcog.2019.107189
Artigo de periodico
Fractal descriptors of texture images based on the triangular prism dimension (2019)
Florindo, João Batista; Bruno, Odemir Martinez
Source: Journal of Mathematical Imaging and Vision. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLORINDO, João Batista e BRUNO, Odemir Martinez. Fractal descriptors of texture images based on the triangular prism dimension. Journal of Mathematical Imaging and Vision, v. 61, n. Ja 2019, p. 140-159, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10851-018-0832-y. Acesso em: 19 abr. 2024.
APA
Florindo, J. B., & Bruno, O. M. (2019). Fractal descriptors of texture images based on the triangular prism dimension. Journal of Mathematical Imaging and Vision, 61( Ja 2019), 140-159. doi:10.1007/s10851-018-0832-y
NLM
Florindo JB, Bruno OM. Fractal descriptors of texture images based on the triangular prism dimension [Internet]. Journal of Mathematical Imaging and Vision. 2019 ; 61( Ja 2019): 140-159.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/s10851-018-0832-y
Vancouver
Florindo JB, Bruno OM. Fractal descriptors of texture images based on the triangular prism dimension [Internet]. Journal of Mathematical Imaging and Vision. 2019 ; 61( Ja 2019): 140-159.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/s10851-018-0832-y
Trabalho de evento-anais periodico
Evaluating deep convolutional neural networks as texture feature extractors (2019)
Scabini, Leonardo Felipe dos Santos; Condori, Rayner Harold Montes ; Ribas, Lucas Correia ; Bruno, Odemir Martinez
Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Image Analysis and Processing- ICIAP. Unidades: IFSC, ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABINI, Leonardo Felipe dos Santos et al. Evaluating deep convolutional neural networks as texture feature extractors. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30645-8_18. Acesso em: 19 abr. 2024. , 2019
APA
Scabini, L. F. dos S., Condori, R. H. M., Ribas, L. C., & Bruno, O. M. (2019). Evaluating deep convolutional neural networks as texture feature extractors. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-30645-8_18
NLM
Scabini LF dos S, Condori RHM, Ribas LC, Bruno OM. Evaluating deep convolutional neural networks as texture feature extractors [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11752 192-202.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-030-30645-8_18
Vancouver
Scabini LF dos S, Condori RHM, Ribas LC, Bruno OM. Evaluating deep convolutional neural networks as texture feature extractors [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11752 192-202.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-030-30645-8_18
Dissertação (Mestrado)
Environment for the analysis and comparison of texture descriptors (2018)
Farfan, Alex Josue Florez; Bruno, Odemir Martinez (Orientador)
Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FARFAN, Alex Josue Florez. Environment for the analysis and comparison of texture descriptors. 2018. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2018. Disponível em: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02012019-103709/. Acesso em: 19 abr. 2024.
APA
Farfan, A. J. F. (2018). Environment for the analysis and comparison of texture descriptors (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02012019-103709/
NLM
Farfan AJF. Environment for the analysis and comparison of texture descriptors [Internet]. 2018 ;[citado 2024 abr. 19 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02012019-103709/
Vancouver
Farfan AJF. Environment for the analysis and comparison of texture descriptors [Internet]. 2018 ;[citado 2024 abr. 19 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02012019-103709/
Artigo de periodico
Discrete Schroedinger transform for texture recognition (2017)
Florindo, João Batista; Bruno, Odemir Martinez
Source: Information Sciences. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS, EQUAÇÃO DE SCHRODINGER, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLORINDO, João Batista e BRUNO, Odemir Martinez. Discrete Schroedinger transform for texture recognition. Information Sciences, v. No 2017, p. 142-155, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2017.06.022. Acesso em: 19 abr. 2024.
APA
Florindo, J. B., & Bruno, O. M. (2017). Discrete Schroedinger transform for texture recognition. Information Sciences, No 2017, 142-155. doi:10.1016/j.ins.2017.06.022
NLM
Florindo JB, Bruno OM. Discrete Schroedinger transform for texture recognition [Internet]. Information Sciences. 2017 ; No 2017 142-155.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2017.06.022
Vancouver
Florindo JB, Bruno OM. Discrete Schroedinger transform for texture recognition [Internet]. Information Sciences. 2017 ; No 2017 142-155.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.ins.2017.06.022

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