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Master's Dissertation
DOI
10.11606/D.18.2016.tde-03032016-153342
Document
Author
Full name
Ana Cláudia Martinez
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2002
Supervisor
Committee
Cruvinel, Paulo Estevão (President)
Carvalho, José Ruy Porto de
Oliveira, Vilma Alves de
Title in Portuguese
Um novo método para medidas de gotas de chuva com técnicas do processamento digital de imagens
Keywords in Portuguese
Processamento de imagens
Reconhecimento de padrões
Transformada de Hough circular
Volume de gotas
Abstract in Portuguese
Um novo método para avaliação do tamanho de gotas de chuva e sua distribuição é apresentado. O método é baseado no processamento de imagens com o uso da transformada de Hough circular em conjunto com as técnicas de Backmapping e análise de vizinhança. Esta metodologia trás vantagens, uma vez que viabiliza medidas diretas e de forma automática para identificação e contagem de gotas de chuva. A calibração do método foi desenvolvida utilizando padrões de gotas conhecidos. Gotas, na faixa de 1 μm a 85 mm de diâmetro, foram automaticamente reconhecidas e medidas com sucesso. Resultados mostram erro médio percentual não maior que 3,61%. Adicionalmente é apresentado uma comparação de resultados obtidos com um método de análise de correlação em frequência e contagem direta. Resultados mostram a potencialidade da metodologia desenvolvida para aplicações agrícolas.
Title in English
not available
Keywords in English
not available
Abstract in English
A new method for evaluating raindrop size and distribution has been developed. It is based on image processing with circular Hough fast transform composed with the Backmapping and neighborhood analysis techniques. This methodology has the advantage of being a direct measurement method that automatically identifies and counts raindrops. Calibration was carried out using standard patterns with known raindrop sizes. Drops sizes ranging from 1 μm sizes to 85 mm in diameter has been automatically recognized and successfully measured. Results show perceptual average error not larger than 3,61%. In addition a comparison of results with the correlation analysis in the frequency domain and directed counts methods are presented. Results show the suitability of developed methodology.
 
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Publishing Date
2016-03-03
 
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