Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/795
Title: A robust edge based corner detector
Authors: Nachar, Rabih 
Inaty, Elie 
Bonnin, Patrick J
Alayli, Yasser
Affiliations: Department of Telecommunications and Networking Engineering 
Department of Electrical Engineering 
Keywords: Image edge detection
Joining processes
Conferences
Robustness
Subjects: Detectors
Computer vision
Image segmentation
Issue Date: 2014
Publisher: IEEE
Part of: Electrotechnical Conference (MELECON), 2014 17th IEEE Mediterranean
Conference: MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference (13-16 April 2014 : Beirut, Lebanon) 
Abstract: 
This paper presents a novel method to find corners that are well located and stable interest points in a given image. Our corners are defined as intersection points of non collinear straight image edges, which are very robust against various image transformations like image scaling, rotation, translation and also to viewpoint and illumination changes. Some light updates on the linking edge step that should be applied in order to extract edges and their intersections that construct the searched corners are also discussed. Experiments conducted on real images demonstrate that the proposed method is able to achieve a very good performance in accuracy, stability and especially computational efficiency in comparison with existing methods.
URI: https://scholarhub.balamand.edu.lb/handle/uob/795
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Telecommunications and Networking Engineering

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