Please use this identifier to cite or link to this item:
|Title:||A Robust Edge-Based Corner Detector (EBCD)||Authors:||Nachar, Rabih
Bonnin, Patrick J
|Affiliations:||Department of Telecommunications and Networking Engineering
Department of Electrical Engineering
|Issue Date:||2014||Part of:||International journal of image and graphics||Volume:||14||Issue:||4||Start page:||1||End page:||25||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/2504||DOI:||10.1142/S0219467814500181||Open URL:||Link to full text||Type:||Journal Article|
|Appears in Collections:||Department of Telecommunications and Networking Engineering|
Show full item record
checked on May 1, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.