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العنوان
Analysis and processing of digital images /
الناشر
Ismaiel Abdullah Hasan Humied ,
المؤلف
Humied , Ismaiel Abdullah Hasan
هيئة الاعداد
باحث / اسماعيل عبد الله حسن
مشرف / هانى محمد كمال
مشرف / محمد نبيل مصطفى
مناقش / هدى قرشى محمد
مناقش / محمد جمال الدين درويش
الموضوع
Digital image processing.
تاريخ النشر
2009 .
عدد الصفحات
xiv,109 p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2009
مكان الإجازة
جامعة عين شمس - كلية الهندسة - كهربة حاسبات
الفهرس
Only 14 pages are availabe for public view

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from 158

Abstract

The aim of this thesis is to compare between two popular
contrast enhancement techniques and automatically select the
.
technique that is most suitable for contrast enhancement of the
input images. The included techniques in this study are
Histogram Equalization (HE) and Gray Level Grouping (GLG).
A lot of research work has been done in contrast
enhancement but we felt the need of an automatic selector
based on each individual input image characteristics. First
defined the standard contrast enhancement quality criteria are
defined, which are the average distance between pixels on the
gray scale axis and tho Tenengrad criterion. Then the
techniques HE and GLG are presented in details. A
comparison between t.hcm has been performed by applying
these techniques on seventy images and mentioning their
advantages and disadvantages. The proposed Fuzzy c-Means
classifier as an automatic selector is described. The classifier
relies on two features extracted from the input images to take a
decision. The features are the average distance between pixels
on the gray scale axis and the maximum value of probability
intensity level in the image. The decision of the classifier can
be: 1) use HE, 2) use GLG, or 3) No clear winner, i.e., both HE
and GLG not improve the contrast of the input imagesThe proposed method has been tested on thirty images and
decisions have been found to mostly agree with the visual
evaluation done by the human ey