Identification and comparative analysis of potholes using image processing algorithms
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
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| 语言: | English |
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BRAC Univeristy
2018
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| 在线阅读: | http://hdl.handle.net/10361/9975 |
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10361-9975 |
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10361-99752019-09-30T04:34:33Z Identification and comparative analysis of potholes using image processing algorithms Anik, Fahim Shahriare Ahmed, Asif Maheen, Avita Alam, Puily Chakrabarty, Dr. Amitabha Department of Electrical and Electronic Engineering, BRAC University Image processing Canny edge detection K means algorithm This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. Catalogued from PDF version of thesis. Includes bibliographical references (page 58-60). Potholes have become a major havoc and are the leading reason for the damage of road transportation vehicles. This is why this paper was made to verify and understand whether a feasible commercial product can be made using the current algorithms to detect potholes, which can aid the driver of the vehicle. The topic selected uses different algorithms to test whether it can identify all types of potholes based on the intensity of the image and the shape of the pothole in any given condition. Performance analysis of the different algorithms is used in Matlab2015Ra image processing toolbox to find out the effectiveness of the algorithms for potholes in different environments of Bangladesh and the pothole photos from internet. And the following techniques that were worked on were Image Thresholding, canny edge detector, K-Means clustering and Fuzzy C-Means clustering along with other operations. Fahim Shahriare Anik Asif Ahmed Avita Maheen Puily Alam B. Electrical and Electronic Engineering 2018-05-08T03:33:33Z 2018-05-08T03:33:33Z 2018 2018-04-17 Thesis ID 13221035 ID 14121002 ID 14121065 ID 14121054 http://hdl.handle.net/10361/9975 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. 60 pages application/pdf BRAC Univeristy |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image processing Canny edge detection K means algorithm |
| spellingShingle |
Image processing Canny edge detection K means algorithm Anik, Fahim Shahriare Ahmed, Asif Maheen, Avita Alam, Puily Identification and comparative analysis of potholes using image processing algorithms |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. |
| author2 |
Chakrabarty, Dr. Amitabha |
| author_facet |
Chakrabarty, Dr. Amitabha Anik, Fahim Shahriare Ahmed, Asif Maheen, Avita Alam, Puily |
| format |
Thesis |
| author |
Anik, Fahim Shahriare Ahmed, Asif Maheen, Avita Alam, Puily |
| author_sort |
Anik, Fahim Shahriare |
| title |
Identification and comparative analysis of potholes using image processing algorithms |
| title_short |
Identification and comparative analysis of potholes using image processing algorithms |
| title_full |
Identification and comparative analysis of potholes using image processing algorithms |
| title_fullStr |
Identification and comparative analysis of potholes using image processing algorithms |
| title_full_unstemmed |
Identification and comparative analysis of potholes using image processing algorithms |
| title_sort |
identification and comparative analysis of potholes using image processing algorithms |
| publisher |
BRAC Univeristy |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9975 |
| work_keys_str_mv |
AT anikfahimshahriare identificationandcomparativeanalysisofpotholesusingimageprocessingalgorithms AT ahmedasif identificationandcomparativeanalysisofpotholesusingimageprocessingalgorithms AT maheenavita identificationandcomparativeanalysisofpotholesusingimageprocessingalgorithms AT alampuily identificationandcomparativeanalysisofpotholesusingimageprocessingalgorithms |
| _version_ |
1814308053193850880 |