Image Smoothing Using Non-Linear Filters A Comparative Study
عنوان مقاله: Image Smoothing Using Non-Linear Filters A Comparative Study
شناسه ملی مقاله: ICS12_265
منتشر شده در دوازدهمین کنفرانس ملی سیستم های هوشمند ایران در سال 1392
شناسه ملی مقاله: ICS12_265
منتشر شده در دوازدهمین کنفرانس ملی سیستم های هوشمند ایران در سال 1392
مشخصات نویسندگان مقاله:
Melika Mostaghim - Department of Electrical and Computer Engineering Shiraz University Shiraz, Iran
Elnaz Ghodousi, - Department of Electrical and Computer Engineering Shiraz University Shiraz, Iran
Farshad Tajeripoor - Department of Electrical and Computer Engineering Shiraz University Shiraz, Iran
خلاصه مقاله:
Melika Mostaghim - Department of Electrical and Computer Engineering Shiraz University Shiraz, Iran
Elnaz Ghodousi, - Department of Electrical and Computer Engineering Shiraz University Shiraz, Iran
Farshad Tajeripoor - Department of Electrical and Computer Engineering Shiraz University Shiraz, Iran
In this paper, four different non-linear filters,Kuwahara, Mean shift, Bilateral and SNN, in terms of noise immunity and edge preserving are compared.At firsttwo types of noise (Salt and Pepper, Gaussian) are added to the images. Experimental results show that the mean shift can inhibitnoisy edges, facilitated the detection for weak edges and have better result in images with non-uniform illumination compared with traditional methods such as: Canny, Sobel,Prewitt, Roberts. PSNR is also use for comparison four smoothing filters, the results show mean shift filter is betterthan another filters
کلمات کلیدی: color edge detection; smoothing filters;Kuwahara; Bilateral; Mean Shift; SNN; PSNR
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/276344/