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|Title:||Polygonal Approximation of an Object Contour by Detecting Edge Dominant Corners Using Iterative Corner Suppression||Authors:||Nachar, Rabih
Bonnin, Patrick J
|Affiliations:||Department of Telecommunications and Networking Engineering
Department of Electrical Engineering
|Issue Date:||2014||Publisher:||IEEE||Part of:||International Conference on Computer Vision, Theory and Applications||Start page:||247||End page:||256||Conference:||International Conference on Computer Vision Theory and Applications (VISAPP) (9th : 5-8 Jan. 2014 : Lisbon, Portugal)||Abstract:||
A new algorithm to detect straight edge parts which form the contour of an object presented in an image is discussed in this paper. This algorithm is very robust and can detect true straight edges even when their pixel's locations are not straight due to natural noise at the object borders. These straight edges are than used to report and classify contour's corners according to their angle and their adjacent segments lengths. A new technique for polygonal approximation is also presented to find the best set among these corners to construct the polygon vertices that best describe the approximating contour. It starts by eliminating the corners, one after the other using Iterative Corner Suppression (ICS) process. This in turn enables us to obtain the smallest possible error in the approximation. Experimental results demonstrate the efficiency of this technique in comparison with recently proposed algorithms.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/756||Open URL:||Link to full text||Type:||Conference Paper|
|Appears in Collections:||Department of Telecommunications and Networking Engineering|
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