Similar neighborhood criterion for edge detection in noisy and noise-free images

Ali Awad, Hong Man

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A novel approach for edge detection in noise-free and noisy images is presented in this paper. The proposed method is based on the number of similar pixels that each pixel in the image may have amongst its neighboring in the filtering window and within a pre-defined intensity range. Simulation results show that the new detector performs well in noise-free images but superior in corrupted images by salt and pepper impulse noise. Moreover, it is time efficient.

Original languageEnglish
Title of host publicationProceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT 2008
Pages483-486
Number of pages4
DOIs
StatePublished - 2008
EventInternational Multiconference on Computer Science and Information Technology, IMCSIT 2008 - Wisla, Poland
Duration: 20 Oct 200822 Oct 2008

Publication series

NameProceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT 2008
Volume3

Conference

ConferenceInternational Multiconference on Computer Science and Information Technology, IMCSIT 2008
Country/TerritoryPoland
CityWisla
Period20/10/0822/10/08

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