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العنوان
Algorithms for edges detection in digital images based on entropy /
المؤلف
Mohamed, Eman AbdEl-Aziz Ahmed.
هيئة الاعداد
باحث / ايمان عبد العزيز احمد
eman.mihamed@science.sohag.edu.eg
مشرف / صلاح الدين عباس
salaheldin.abbas@science.sohag.edu.eg
مشرف / محمد عبد الحليم السيد
mohamed.elsayed@science.sohag.edu.eg
مشرف / محمد عبد الحليم السيد
الموضوع
Computer Science.
تاريخ النشر
2014.
عدد الصفحات
P 131. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الرياضيات الحاسوبية
الناشر
تاريخ الإجازة
30/9/2014
مكان الإجازة
جامعة سوهاج - كلية العلوم - الرياضيات
الفهرس
Only 14 pages are availabe for public view

from 148

from 148

Abstract

Nonextensive entropy image thresholding is a powerful technique for image segmentation. The presented method [El-SayedA, 2011] has been derived from the generalized entropy concepts proposed by Tsallis of order q. The advantage of the method is the use of a global and objective property of the two-dimensional histogram and this method is easily implemented. In almost every image used, the proposed method yielded a good threshold value for fractional q coefficient, that is, when 0<q<1. For q>1, the proposed method did not yield a good threshold value. When q = 1, the method yielded, in some cases, good optimal threshold values and, in some other cases, unacceptable threshold values.