An automatic method for edge detection evaluation based on semi-optimal edge detector
Other Title(s)
طريقة مؤتمتة لتقييم اكتشاف الحواف بالاعتماد على مكتشف الحواف شبه المثالي
Dissertant
Thesis advisor
Comitee Members
Muslih, Usamah
al-Hamami, Ala H.
University
Amman Arab University
Faculty
Collage of Computer Sciences and Informatics
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2014
English Abstract
The methods of edge detection play an important role in many image processing applications as edge detection is regarded as an important stage in image processing and the extraction of certain information from it.
The evaluation method of various edge detection techniques is the perfect way to choose the best technique within these multiple methods for certain image.
This study determined a new process based on the most dynamic techniques for new automatic edge detection evaluation based on semi-optimal edge detector.
The main advantages of the proposed method are the evaluation of edge detection methods to know which technique is the best of edge detection.
The study showed that the results of evaluation for each experimental automated technique of edge detection through applying an algorithm on several preferable edge detection techniques, such as Sobel, Roberts, Prewitt, Canny and Laplacian of Gaussian (LOG) in according to reach the objects that must be clear to human vision.
Moreover, the results showed that applying standard deviation with median filter ensure smooth image and help getting rid of the noisy pixel to perform ideal images.
In addition to applying Pratt measure, each method of edge detection was used separately to get the final results of the evaluation algorithm in terms of an automatic method for edge detection evaluation based on semi-optimal edge detector to reach the most appropriate methods through using the best ratio of the value one
Main Subjects
Topics
No. of Pages
57
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background and literature review.
Chapter Three : Measuring the edge detection methods.
Chapter Four : (A-EDV)-the proposed algorithm.
Chapter Five : The experiments and results.
Chapter Six : Recommendations and conclusion.
References.
American Psychological Association (APA)
al-Najjar, Ammar N. A.. (2014). An automatic method for edge detection evaluation based on semi-optimal edge detector. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-561939
Modern Language Association (MLA)
al-Najjar, Ammar N. A.. An automatic method for edge detection evaluation based on semi-optimal edge detector. (Master's theses Theses and Dissertations Master). Amman Arab University. (2014).
https://search.emarefa.net/detail/BIM-561939
American Medical Association (AMA)
al-Najjar, Ammar N. A.. (2014). An automatic method for edge detection evaluation based on semi-optimal edge detector. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-561939
Language
English
Data Type
Arab Theses
Record ID
BIM-561939
