A combinational adaptive filter for suppressing impulse noise from x-ray images
عنوان مقاله: A combinational adaptive filter for suppressing impulse noise from x-ray images
شناسه ملی مقاله: WEECONF01_015
منتشر شده در همایش ملی علوم و فن آوری های نوین در آب،انرژی و محیط زیست در سال 1398
شناسه ملی مقاله: WEECONF01_015
منتشر شده در همایش ملی علوم و فن آوری های نوین در آب،انرژی و محیط زیست در سال 1398
مشخصات نویسندگان مقاله:
Pooya Soleimani Abhari - Department of electronics, faculty of engineering, South Tehran branch, Islamic Azaduniversity
Said Talebi Tooti - Department of electronics, faculty of engineering, South Tehran branch, Islamic Azad university
Mahyad Mirzabagheri - Department of Computer, faculty of engineering, North Tehran branch, Islamic Azad university
Milad Mirzabagheri - Department of electronics Engineering, faculty of engineering, Science and Research, Islamic Azad university
خلاصه مقاله:
Pooya Soleimani Abhari - Department of electronics, faculty of engineering, South Tehran branch, Islamic Azaduniversity
Said Talebi Tooti - Department of electronics, faculty of engineering, South Tehran branch, Islamic Azad university
Mahyad Mirzabagheri - Department of Computer, faculty of engineering, North Tehran branch, Islamic Azad university
Milad Mirzabagheri - Department of electronics Engineering, faculty of engineering, Science and Research, Islamic Azad university
This paper shows an efficient adaptive filter, to suppress impulse noise from X-ray images.This method has two levels. Firstly, according to the intensity, the pixels are categorized intothe two groups, which are pixels containing noise and intact pixel, the noisy pixels that havebeen modified should be processed and the others will not be changed. Infract, the size ofwindow is changing and this may maintain the edges. Two facts are taken into considerationthe number of intact pixels and the noise level. The outcome from 200 images reveals that thisfilter is promising for noise removal.
کلمات کلیدی: Adaptive filter, impulse noise, x-ray images, noise removal
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1006510/