Noise Reduction and Kidney Ultrasound Image Enhancement Based on Multi-Scale Transform and Curvelet Transform
عنوان مقاله: Noise Reduction and Kidney Ultrasound Image Enhancement Based on Multi-Scale Transform and Curvelet Transform
شناسه ملی مقاله: SASTECH07_111
منتشر شده در هفتمین سمپوزیوم بین المللی پیشرفتهای علوم و تکنولوژی در سال 1391
شناسه ملی مقاله: SASTECH07_111
منتشر شده در هفتمین سمپوزیوم بین المللی پیشرفتهای علوم و تکنولوژی در سال 1391
مشخصات نویسندگان مقاله:
Mohammad Khodaee - Majlesi University, Isfahan, Iran
Ahmad Hatam - Hormozgan University, BandarAbbas, Iran
خلاصه مقاله:
Mohammad Khodaee - Majlesi University, Isfahan, Iran
Ahmad Hatam - Hormozgan University, BandarAbbas, Iran
A new algorithm for contrast enhancement and noise removal from the ultrasound images is proposed. At first, Sticks filteris used to remove the initial noise from the ultrasound images. Then the image brightness is improved. Finally multi-scale and new generation of curvelet transform, the coefficient adaptive correction of these transforms, non-linear modificationand adaptive functions suggested here are applied to enhance the final contrast and removing any noise from the kidney ultrasound images.
کلمات کلیدی: noise removal;contract enhancement; curvelet transform
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/205247/