Referenced Items are not available for this document.
Edge detection in grayscale digital images based on the locations of zero crossings has been investigated. Samples of the image are transformed using the discrete symmetric cosine transform (DSCT) and filtered using truncated time or frequency sampled forms of the Laplacian-of-Gaussian (LOG) filter. This article presents and evaluates adaptive block-based filtering procedures to localize edges based on discrete circular and real transforms. Measures of the signal-to-noise ratio (SNR) and edge localization are provided
Published in:
Signal Processing, IEEE Transactions on
(Volume:47
,
Issue:
8
)
Date of Publication: Aug 1999
- Page(s):
- 2313 - 2317
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 6323721
- Digital Object Identifier :
- 10.1109/78.774776
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Aug 1999
- Sponsored by :
- IEEE Signal Processing Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
