Comparison Between Edge Detection Methods On UTeM Unmanned Arial Vehicles Images

Ahmad, Asmala and Kasmin, Fauziah and Syed Ahmad, Sharifah Sakinah and Abu Sari, Mohd Yazid and Mustapha, Muhammad Amin and Othman, Zuraini (2018) Comparison Between Edge Detection Methods On UTeM Unmanned Arial Vehicles Images. MATEC Web Of Conferences, 150. pp. 1-6. ISSN 2261-236X (In Press)

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Abstract

Machine vision calls for the use of detectors to ascertain the features and type of object portrayed in the image.The employment of unmanned aerial vehicles (UAVs),which can function freely in active and precarious settings,is currently gaining momentum.These vehicles are mainly used for the detecting,classifying and tracking of an object.However,the achievement of these objectives necessitates the involvement of an effective edge detection procedure.Sobel,Canny,Prewitt and LoG are among the many edge detection procedures presently available. In this endeavour,we opted for the utilization of UTeM UAVs images for an evaluation of these edge detection procedures.During our investigations,the ground truth edge images were corroborated by a specialist in this field.The results obtained from these investigations revealed that in terms of accuracy,precision, sensitivity and f-measure, the Prewitt procedure outperforms the other methods mentioned.

Item Type: Article
Uncontrolled Keywords: Edge Detection Method, UTeM, Unmanned Arial Vehicles Images, Antennas, Edge detection, Vehicles
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Information and Communication Technology
Depositing User: Mohd. Nazir Taib
Date Deposited: 12 Nov 2018 02:53
Last Modified: 16 Aug 2021 11:42
URI: http://eprints.utem.edu.my/id/eprint/21299
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