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Efficiently Scaling Edge Detectors

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Kerr, D, Coleman, SA and Scotney, BW (2011) Efficiently Scaling Edge Detectors. In: International Machine Vision and Image Processing Conference (IMVIP 2010), Limerick, Ireland. Cambridge Scholars Publishing, 12 Back Chapman Street, Newcastle upon Tyne, NE6 2XX, UK. 14 pp. [Conference contribution]

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URL: http://www.c-s-p.org/flyers/14th-International-Machine-Vision-and-Image-Processing-Conference--IMVIP-20101-4438-2962-5.htm

Abstract

Edge features within an image may be present at many scales, therefore application of edge detectors at multiple scales improves the accuracy of the detected edges. However, the computational complexity of application of the edge detection filter increases as the size of the filter increases. Using the finite element method in conjunction with integral images weillustrate a method of efficiently applying edge detection operators over an image at varying scales.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:20482
Deposited By:Dr Dermot Kerr
Deposited On:15 Nov 2011 11:10
Last Modified:15 Nov 2011 11:10

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