Disaster management using image processing
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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BRAC Univeristy
2018
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| Accés en línia: | http://hdl.handle.net/10361/10521 |
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10361-105212022-01-26T10:21:46Z Disaster management using image processing Khan, Wasik Ahmed Alam, Dr. Md. Ashraful Department of Computer Science and Engineering, BRAC University Image processing Disaster management This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 26-27). Many hazards that threaten the country have the ability to cause loss of lives or injury and all of them have the ability to cause severe damage to homes, businesses and infrastructure. These includes earthquakes, meteorological hazards, accidental hazards and flooding. Disasters have become a severe issue of growing concern throughout the world, whether it is natural hazards or by human factors. Our country is vulnerable to a number of natural hazards. It is highly imperative to develop effective methods for disaster management. I propose and demonstrate an image processing technique to identify shortest possible route to affected area after disaster like earthquake, flood, Fire & volcano hazards. The proposed model composed of pre- processing, decision making and result. In my thesis I used speeded up robust features to segment roads based on pre and post disastrous moment. I also used color based segmentation to detect fire and volcano on roads and it also can detect floods on road. Moreover, I used a method called ‘K’ means clustering which detect the presence and absence of an object by comparing both pre & post disaster images. Finally, I used a shortest path estimation algorithm to find the best possible route to affected area so that the immediate relief can reach the site as soon as possible. Wasik Ahmed Khan B. Computer Science and Engineering 2018-09-16T05:14:19Z 2018-09-16T05:14:19Z 2018 2018 Thesis ID 14101251 http://hdl.handle.net/10361/10521 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 27 pages application/pdf BRAC Univeristy |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image processing Disaster management |
| spellingShingle |
Image processing Disaster management Khan, Wasik Ahmed Disaster management using image processing |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Alam, Dr. Md. Ashraful |
| author_facet |
Alam, Dr. Md. Ashraful Khan, Wasik Ahmed |
| format |
Thesis |
| author |
Khan, Wasik Ahmed |
| author_sort |
Khan, Wasik Ahmed |
| title |
Disaster management using image processing |
| title_short |
Disaster management using image processing |
| title_full |
Disaster management using image processing |
| title_fullStr |
Disaster management using image processing |
| title_full_unstemmed |
Disaster management using image processing |
| title_sort |
disaster management using image processing |
| publisher |
BRAC Univeristy |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10521 |
| work_keys_str_mv |
AT khanwasikahmed disastermanagementusingimageprocessing |
| _version_ |
1814309415751254016 |