Enhanced global and local curvature properties for corner detection

Suraya, Abu Bakar and Muhammad Suzuri, Hitam and Wan Nural Jawahir, Hj Wan Yussof and Junaida, Sulaiman (2020) Enhanced global and local curvature properties for corner detection. In: 6th International Conference on Software Engineering and Computer Systems, ICSECS 2019 , 25 - 27 September 2019 , Vistana Kuantan City Center, Kuantan, Pahang. pp. 1-6., 769 (1). ISSN 17578981

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Abstract

Corner detection is basically a methods used to extract certain kind of features in images which could produce some information including the location or position of the corner points. Thus, in this paper an enhancement shape corner detection method is proposed to detect true corners of shape images. The overall performance of the proposed enhanced shape corner detector and six other existing shape detectors and descriptors including Harris, SUSAN, Harris-Laplace, CSS, SIFT and global and local curvature properties is presented. The experimental results of corner detection methods are tested using the benchmark binary image MPEG-7 Core Experiment Shape-1 Part B dataset. To measure the performance of corner detection evaluation, an appropriate number of true corners were determined.

Item Type:	Conference or Workshop Item (Keynote)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Corner detection methods; Local curvature properties
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computing
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	11 Jan 2021 04:35
Last Modified:	11 Jan 2021 04:35
URI:	http://umpir.ump.edu.my/id/eprint/28008
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