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عنوان مقاله: Dtckp OTK Ugiogpvcvkqp Wukpi vjg Okzvwtg qh HEO cpf TDH Pgwtcn Pgvyqtm
شناسه ملی مقاله: ICMVIP08_185
منتشر شده در هشتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1392
شناسه ملی مقاله: ICMVIP08_185
منتشر شده در هشتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1392
مشخصات نویسندگان مقاله:
Maryam Talebi Rostami - Electrical and Computer Department Babol University of Technology
Reza Ghaderi - Shahid beheshti University
Mehdi Ezoji - Electrical and Computer Department Babol University of Technology
Jamal Ghasemi - Electrical Department Mazandaran University
خلاصه مقاله:
Maryam Talebi Rostami - Electrical and Computer Department Babol University of Technology
Reza Ghaderi - Shahid beheshti University
Mehdi Ezoji - Electrical and Computer Department Babol University of Technology
Jamal Ghasemi - Electrical Department Mazandaran University
one of the most commonly used methods forMagnetic Resonance Imaging (MRI) segmentation is Fuzzy CMeans(FCM). This method in comparison with other methodspreserves more information of the images .Because of using theintensity of pixels as a key feature for clustering, Standard FCM issensitive to noise. In this study in addition to intensity, mean ofneighbourhood of pixels and largest singular value ofneighbourhood of pixels are used as features. Also a method forsegmenting MRI images is presented which uses both FCM andRadial Basis Function (RBF) neural network and partly decreasesthe limitation of standard FCM.
کلمات کلیدی: OTK ugiogpvcvkqp= HEO= TDH pgwtcn pgvyqtm0
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/227534/