An adaptive active contour model for building extraction from aerial images
Other Title(s)
نموذج كنتور نشط محسن لاجتزاء المباني من الصور الجوية
Dissertant
Awdah, Muhammad Abd al-Hamid Muhammad
Thesis advisor
Comitee Members
Mghari, Ashraf Yunus
Salamah, Sami Abd Allah
University
Islamic University
Faculty
Faculty of Information Technology
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2016
English Abstract
Building extraction from aerial images is one of the recent topics of remote sensing that used in many applications such as urban planning, disaster management, military planning, and Geographic Information Systems (GIS).
One of the most used approaches in building extraction is the Active Contour Model (ACM) or snakes for its ability to extract contours of structured and unstructured shapes of objects.
However, using the traditional ACM snake model in building extraction and other fields faces the problem of extracting contours of concavity regions, because snake points cannot converge inside narrow concavity regions during its movement.
In this research we proposed to solve extraction contours of concavity regions problem by adapting coefficients of ACM forces during snake iterations by adding a concavity index to indicate that snake points stop in a concave region or not.
Then adapt these coefficients in term of concavity index value, to allow snake converge inside concavity region.
Our adaptive model was tested on different sets of sub aerial images of buildings that contain concavity regions, we show the results and evaluate these results using two evaluation methods, the first evaluation method done in terms of accuracy, precision and recall.
And the second evaluation method evaluates the Error Distance Ratio (???) which is the average ratio of distance between each snake point and the true edge map point (by pixels), the result values is compared with the GVF snake model, which is an important improved ACM model that solved the concavity contour extraction problem.
In addition, we test and compare the execution time of our adaptive ACM model and GVF model.
Main Subjects
Information Technology and Computer Science
No. of Pages
64
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
[Chapter One] : Introduction.
[Chapter Two] : Theoretical background.
[Chapter Three] : Related work.
[Chapter Four] : Proposed ACM model.
[Chapter Five] : Experimental results and evaluation.
[Chapter Six] : Conclusion and future work.
References.
American Psychological Association (APA)
Awdah, Muhammad Abd al-Hamid Muhammad. (2016). An adaptive active contour model for building extraction from aerial images. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688732
Modern Language Association (MLA)
Awdah, Muhammad Abd al-Hamid Muhammad. An adaptive active contour model for building extraction from aerial images. (Master's theses Theses and Dissertations Master). Islamic University. (2016).
https://search.emarefa.net/detail/BIM-688732
American Medical Association (AMA)
Awdah, Muhammad Abd al-Hamid Muhammad. (2016). An adaptive active contour model for building extraction from aerial images. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688732
Language
English
Data Type
Arab Theses
Record ID
BIM-688732
