Medical image retrieval based on gray cluster Co-occurrence matrix and edge strength levels
العناوين الأخرى
استرجاع الصور الطبية باستخدام مصفوفة الجوار للمجموعات الرمادية و مستويات قوة الحدود
مقدم أطروحة جامعية
مشرف أطروحة جامعية
الجامعة
الجامعة الإسلامية
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
تكنولوجيا المعلومات
دولة الجامعة
فلسطين (قطاع غزة)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2016
الملخص الإنجليزي
In Content Based Image Retrieval (CBIR), the objective is to query image databases in order to retrieve images with specific desired meaningful features.
Important types of features include texture features and shape features.
A common approach is to divide retrieval process into two stages; the first one is based on high-level features followed by the second that is based on low-level features.
Within the previous mentioned general approach, methods vary in techniques they use.
For each stage to extract features, and for matching feature sets based on these variations, existing methods perform differently in terms of precision, recall, and distance variance.
In this research, we find that this variation in performance is an opportunity for us to propose a new method.
We focus primarily on medical images, and follow the above approach but make the following two basic contributions: a) introduce the gray cluster co-occurrence matrix as texture feature extraction and use it as high-level features, and b) introduce edge strength levels as shape feature extraction and use it as low-level features.
The system is evaluated using images retrieval performance the evaluation precision and recall rate, and distance variance.
Our proposed system suggests the precision rate was 94.90% and recall rate was 89.72%.
The distance variance achieved lowest rate (0.0022) in images retrieval compared to each of partial systems individually and related works.
Our method has better performance in retrieving the results than other related works and each of partial system individually
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
عدد الصفحات
79
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Research methodology and techniques.
Chapter Four : Results and discussion.
Chapter Five : Conclusions and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abu Mazid, Ala Ahmad. (2016). Medical image retrieval based on gray cluster Co-occurrence matrix and edge strength levels. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-727269
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abu Mazid, Ala Ahmad. Medical image retrieval based on gray cluster Co-occurrence matrix and edge strength levels. (Master's theses Theses and Dissertations Master). Islamic University. (2016).
https://search.emarefa.net/detail/BIM-727269
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abu Mazid, Ala Ahmad. (2016). Medical image retrieval based on gray cluster Co-occurrence matrix and edge strength levels. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-727269
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-727269
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر