NDLI: DGW-canny: An improvised version of Canny edge detector

Content Provider	IEEE Xplore Digital Library
Author	Gupta, A. Dalal, R.K. Gupta, R. Wadhwa, P.
Copyright Year	2011
Description	Author affiliation: Department of Information Technology, Netaji Subhas Institute of Technology, New Delhi, India (Gupta, A.) \|\| Department of Computer Engineering, Netaji Subhas Institute of Technology, New Delhi, India (Dalal, R.K.; Gupta, R.; Wadhwa, P.)
Abstract	Edge detection is a field which has intrigued programmers since early 1970s. Since then, a good number of edge detection techniques have come up but the technique used by Canny [1] is very widely used. However, it has been observed that the results are not that efficient while dealing with alpha-numeric sections or geometrical figures or fine grain region in an image. To mitigate these limitations, we propose an improvised edge detection technique. The technique uses a Laplacian of Gaussian gradient with a new approach towards the thresholding section. The DGW-Canny framework has been experimented on a data set of images categorized on the basis of vectors proposed by us. The encouraging experimental results show that the DGW-Canny edge detector renders much better results compared to those of Canny. We have also performed experiments by varying parameters like nature and man-made component in an image. It is observed that varying the latter parameter adversely affects the edges of the image.
Starting Page	1
Ending Page	6
File Size	3010533
Page Count	6
File Format	PDF
ISBN	9781457721656
e-ISBN	9781457721663
DOI	10.1109/ISPACS.2011.6146162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-07
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Media Sensitivity Noise image processing edge detection improvised canny
Content Type	Text
Resource Type	Article

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