Noise reduction techniques for processing of medical images

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 2017 World Congress on Engineering, WCE 2017

Год издания: 2017

Ключевые слова: 2DCleaner filter, Denoising, Gaussian 2D filter, Image processing, Mean filter, Median filter, Medical image

Аннотация: An application of different techniques for processing medical images is presented in this paper. The proposed of the techniques consists of application of digital spatial filters. Digital filters are used which in the last decades have taken great impetus for the treatment of images in different fields of science and in the case of the medical image processing better results are obtained in order to make better interpretations. Medical images can contain some noise therefore it makes sense to suppress noise on preprocessing stage. The algorithms of most often used filters have been considered, such as mean filter, Gaussian filter, median filter and 2d Cleaner. With the trend toward larger images and proportionally larger filter kernels, the need for a more efficient filtering algorithm becomes pressing. Conducted comparison of optimized and classical implementations of filters algorithms. It shows great speed improvement of optimized implementation.

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Издание

Журнал: Lecture Notes in Engineering and Computer Science

Выпуск журнала: Vol. 2229

Номера страниц: 496-500

ISSN журнала: 20780958

Издатель: Newswood Limited

Авторы

  • Cadena L. (Electric and Electronic Department, Universidad de las Fuerzas Armadas ESPE, Av. Gral Ruminahui s/n, Sangolqui, Ecuador)
  • Zotin A. (Department of Informatics and Computer Techniques, Reshetnev Siberian State Aerospace University, 31 Krasnoyarsky Rabochy Pr., Krasnoyarsk, Russian Federation)
  • Cadena F. (College Juan Suarez Chacon, Quito, Ecuador)
  • Korneeva A. (Siberian Federal University, 79 Svobodny Pr., Krasnoyarsk, Russian Federation)
  • Legalov A. (Siberian Federal University, 79 Svobodny Pr., Krasnoyarsk, Russian Federation)
  • Morales B. (Electric and Electronic Department, Universidad de las Fuerzas Armadas ESPE, Av. Gral Ruminahui s/n, Sangolqui, Ecuador)

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