A new approach for enhancing corner detection algorithm

العناوين الأخرى

طريقة جديدة لتحسين خوارزمية التقاط الزوايا

مقدم أطروحة جامعية

al-Sarayirah, Maryam Mujalli

مشرف أطروحة جامعية

al-Abbadi, Muhammad

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

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-780525