Login | Register

Multiple-filtering process and its application in edge detection

Title:

Multiple-filtering process and its application in edge detection

Li, Jing and Wang, Chunyan (2009) Multiple-filtering process and its application in edge detection. In: 2009 52nd IEEE International Midwest Symposium on Circuits and Systems.

[thumbnail of Li.pdf]
Preview
Text (application/pdf)
Li.pdf - Accepted Version
Available under License Spectrum Terms of Access.
483kB

Official URL: http://dx.doi.org/10.1109/MWSCAS.2009.5235999

Abstract

In this paper, a procedure of edge detection for a high dynamic range image with damaged edge information is proposed. This procedure is based on a scheme of multiple filtering processes which does not include any segmentation of the image. Three different filtering processes are designed to generate three gradient maps, in each of which gradients are calculated and modulated by using a specific filter. The enhanced gradients, i.e. those modulated correctly, are identified in each of the three gradient maps by using a selection algorithm. They are taken to generate a complete edge map. This procedure allows varieties of edge gradient enhancements applied in the same image by employing a set of simple filters without segmentation. The effectiveness of the detection process has been confirmed by simulations.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Authors:Li, Jing and Wang, Chunyan
Date:2009
Digital Object Identifier (DOI):10.1109/MWSCAS.2009.5235999
ID Code:981315
Deposited By: Chunyan Wang
Deposited On:08 Jun 2016 19:50
Last Modified:18 Jan 2018 17:52
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top