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العنوان
Improved Medical Sampling Modalities Based on Image Fusion /
المؤلف
Elmasry, Shrouk Abd El-Hameed Ahmed.
هيئة الاعداد
باحث / Shrouk Abd El-Hameed Ahmed Elmasry
مشرف / Sami Ahmed Abd El-Hafeez
مشرف / Wael Abd El-Kader Awad
مناقش / Magdi Zakaria Rashad
مناقش / Gamal Mohammed Behery
تاريخ النشر
2019.
عدد الصفحات
109 p. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
النظرية علوم الحاسب الآلي
تاريخ الإجازة
12/12/2019
مكان الإجازة
جامعة بورسعيد - كلية العلوم ببورسعيد - Mathematics and Computer Science Department.
الفهرس
Only 14 pages are availabe for public view

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from 109

Abstract

Medical image fusion is combining complementary information from multiple images into a single image. Discrete wavelet transform (DWT) is one of the most important fusion techniques.The traditional DWT fails to preserve the source images’ details. In order to overcome these drawbacks, we used the fast filtering (FF) method to fuse the approximation coefficients. In our thesis, two proposedhybrid image fusion techniques: (DWT+FF) and (SWT+FF). These proposed techniques have been performed on two medical datasets, and compared for five of the other image fusion techniques and theexperiment results have shown that our proposed techniques evaluation is obviously superior.