A new approach for enhancing corner detection algorithm
العناوين الأخرى
طريقة جديدة لتحسين خوارزمية التقاط الزوايا
مقدم أطروحة جامعية
مشرف أطروحة جامعية
الجامعة
جامعة مؤتة
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
قسم الحاسوب
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2017
الملخص الإنجليزي
The corner has much important information that contributes to the retrieval of shapes, and in general can be considered as the main points in the images; such points produce the convergence of the edges of the image with many angles and curvatures.
Therefore, corner is very important and it plays a large role in applications of object recognition, image matching, in addition to its effective role in the cutting of images and different capture systems.There are many techniques and algorithms which designed for this purpose, so designers seek to retrieve the corner at the lowest time in the high accuracy of recovery; some of these methods lack accuracies in retrieval, while others suffer from high complexity time.
Therefore, this study was made to design a high-resolution corner detection system, considering the time spent in retrieval.
The proposed approach optimized corner detection model (OCDM)aims to mark the largest possible number of true corners depending on four steps, 1st step deals with detecting continues edge lines of the image, the second step represents the detected edges as curvatures, then all corners are aggregated, and finally detect the last set of corners by eliminating of false corners and noise with minimum execution time.The study dealt with three main phases in the capture of the corner.
The first method was used to extract the edges and then the corner.
We have used five of the most famous methods for extracting the edges, which are (Sobel, Canny, Roberts, Log and Prewitt).
The second method was adopted to apply four filters to the image directly which are Sobel, unsharp, Log and Prewitt.
The third method adopted to extract the edges then applied the unsharp filter.
The reason for using of unsharp is due to its speed compared to other filtration methods.
The results showed the effectiveness of the proposed method compared to the other methods used in terms of precision and sensitivity, their values reached 100% when using Sobel and Prewitt edge detectors.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
عدد الصفحات
58
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background and related work.
Chapter Three : Methodology.
Chapter Four : Results and analysis.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Sarayirah, Maryam Mujalli. (2017). A new approach for enhancing corner detection algorithm. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-780525
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Sarayirah, Maryam Mujalli. A new approach for enhancing corner detection algorithm. (Master's theses Theses and Dissertations Master). Mutah University. (2017).
https://search.emarefa.net/detail/BIM-780525
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Sarayirah, Maryam Mujalli. (2017). A new approach for enhancing corner detection algorithm. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-780525
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-780525
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