Trabalho de Conclusão de Curso de Graduação
Análise de métodos para suavização de ruídos em imagens de tomografia computadorizada multislice de baixa radiação
Fecha
2017-07-05Autor
Stringhini, Rômulo Marconato
Institución
Resumen
The objective of this work is to identify a computational method to smooth noise in
images of low radiation multislice computed tomography (MDCT). These images contains low
quality, contaminated by noises, which are stochastic phenomena and impossible to predict
their occurrence. In order to perform this task, some image processing techniques for noise
smoothing were studied. PSNR, SNR, MSE and SSIM metrics were used to evaluate de quality
of the processed images. The filters analyzed and simulated were the median, average, mode,
gaussian and Wiener, from the spatial domain, and basic operators of mathematical morphology.
After some simulations, it was verified that the gaussian filter technique presented superior
results with an average PSNR of 25.64dB and an average SSIM of 0.76, for the best cases.