Análise Quantitativa Preliminar de Métodos de Reamostragem de Imagens Digitais Aplicáveis a Diferentes Tipos de Formas Geométricas
Resumo
Esse trabalho trata de uma análise quantitativa e qualitativa preliminar de métodos clássicos de reamostragem, tais como a interpolação por vizinho mais próximo, a bilinear e a bicúbica. A avaliação que foi realizada tem como enfoque ilustrar como esses métodos impactam na qualidade dos contornos das formas geométricas após a realização da reamostragem. Essa análise é motivada pelo fato de que a perda de qualidade da imagem pode afetar significativamente o casamento de padrões executado em um processo típico de registro de imagem. Os métodos foram analisados utilizando-se métricas de Relação Sinal-Ruído de Pico, Erro Quadrático Médio e Coeficiente de Correlação.
Referências
Neto, G. C. e Mascarenhas, N. D. (1983) "Image scaling comparison using universal image quality index," In: IEEE International Conference on Acoustics, Speech, and Signal Processing, Boston, MA, USA, p. 391-394.
Parker, A., Kenyon, R. V. e Troxel, D. E. (1983) "Comparison of Interpolating Methods for Image Resampling," In: IEEE Transactions on Medical Imaging, vol. 2, no. 1, p. 31-39.
Keys, R. (1981) "Cubic convolution interpolation for digital image processing," in IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 29, no. 6, p. 1153-1160.
Zitová, B. e Flusser, J. (2003) "Image Registration Methods: A Survey. Image and Vision Computing," vol. 21, p. 977-1000.
Goshtasby, A. A. (2005) "2-D and 3-D image registration: for Medical, Remote Sensing, and Industrial Applications," Nova Jersey: John Wiley & Sons.
Pappas, T. N., Safranek, R. J. e Chen, J. (2005) "Perceptual Criteria for Image Quality Evaluation," In: Handbook of Image and Video Processing.
Pedrini, H. e Schwartz, W. R. (2007) "Análise de imagens digitais: princípios, algoritmos e aplicações," Thomson Learning.
Prasantha, H. S., Shashidhara, H. L. e Balasubramanya, M. K. N. (2009) "Image scaling comparison using universal image quality index," In: International Conference on Advances in Computing, Control, and Telecommunication Technologies, Bangalore, Índia, p. 859-863.
Medha, V. W., Pradeep M. P. e Hemant K. A. (2009) "Image Registration Techniques: An overview," In: International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 2, no. 3, p. 11-28.
Gonzalez, R. e Woods, R. E. (2010) "Processamento Digital de Imagens," Pearson, 3.ed.
Han, D. (2013) "Comparison of Commonly Used Image Interpolation Methods," In: Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering.
Porwal, S. e Katiyar, S. K. (2014) "Performance evaluation of various resampling techniques on IRS imagery," In: International Conference on Contemporary Computing (IC3), Noida, India, p. 489-494.
Dung, P. T., Chuc, M. D., Thanh, N. T. N., Hung, B. Q., e Chung, D. M. (2018) "Comparison of Resampling Methods on Different Remote Sensing Images for Vietnam’s Urban Classification," In: Research and Development on Information and Communication Technology, vol E-2, no 15, p. 8-20.
Kai, P. M., Oliveira, B. M., Vieira, G. S., Soares, F. e Costa, R. M. (2021) "Effects of resampling image methods in sugarcane classification and the potential use of vegetation indices related to chlorophyll," In: IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid, Spain, p. 1526-1531.
Parker, A., Kenyon, R. V. e Troxel, D. E. (1983) "Comparison of Interpolating Methods for Image Resampling," In: IEEE Transactions on Medical Imaging, vol. 2, no. 1, p. 31-39.
Keys, R. (1981) "Cubic convolution interpolation for digital image processing," in IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 29, no. 6, p. 1153-1160.
Zitová, B. e Flusser, J. (2003) "Image Registration Methods: A Survey. Image and Vision Computing," vol. 21, p. 977-1000.
Goshtasby, A. A. (2005) "2-D and 3-D image registration: for Medical, Remote Sensing, and Industrial Applications," Nova Jersey: John Wiley & Sons.
Pappas, T. N., Safranek, R. J. e Chen, J. (2005) "Perceptual Criteria for Image Quality Evaluation," In: Handbook of Image and Video Processing.
Pedrini, H. e Schwartz, W. R. (2007) "Análise de imagens digitais: princípios, algoritmos e aplicações," Thomson Learning.
Prasantha, H. S., Shashidhara, H. L. e Balasubramanya, M. K. N. (2009) "Image scaling comparison using universal image quality index," In: International Conference on Advances in Computing, Control, and Telecommunication Technologies, Bangalore, Índia, p. 859-863.
Medha, V. W., Pradeep M. P. e Hemant K. A. (2009) "Image Registration Techniques: An overview," In: International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 2, no. 3, p. 11-28.
Gonzalez, R. e Woods, R. E. (2010) "Processamento Digital de Imagens," Pearson, 3.ed.
Han, D. (2013) "Comparison of Commonly Used Image Interpolation Methods," In: Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering.
Porwal, S. e Katiyar, S. K. (2014) "Performance evaluation of various resampling techniques on IRS imagery," In: International Conference on Contemporary Computing (IC3), Noida, India, p. 489-494.
Dung, P. T., Chuc, M. D., Thanh, N. T. N., Hung, B. Q., e Chung, D. M. (2018) "Comparison of Resampling Methods on Different Remote Sensing Images for Vietnam’s Urban Classification," In: Research and Development on Information and Communication Technology, vol E-2, no 15, p. 8-20.
Kai, P. M., Oliveira, B. M., Vieira, G. S., Soares, F. e Costa, R. M. (2021) "Effects of resampling image methods in sugarcane classification and the potential use of vegetation indices related to chlorophyll," In: IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid, Spain, p. 1526-1531.
Publicado
07/12/2023
Como Citar
FALANDES, Carlos Eduardo; DE CARVALHO, Fabrício Galende Marques.
Análise Quantitativa Preliminar de Métodos de Reamostragem de Imagens Digitais Aplicáveis a Diferentes Tipos de Formas Geométricas. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 11. , 2023, Goiânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
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DOI: https://doi.org/10.5753/erigo.2023.237355.