DocumentCode
1313342
Title
An edge extraction technique for noisy images
Author
Cios, Krzysztof J. ; Sarieh, Ayman
Author_Institution
Toledo Univ., OH, USA
Volume
37
Issue
5
fYear
1990
fDate
5/1/1990 12:00:00 AM
Firstpage
520
Lastpage
524
Abstract
An algorithm for extracting edges from noisy images is presented. The method uses an unsupervised learning approach for local threshold computation by means of K. Pearson´s (1984) method for mixture density identification. The technique was tested by applying it to computer-generated images corrupted with artificial noise and to an actual thallium-201 heart image, and it is shown that the technique has potential use for noisy images.
Keywords
computerised picture processing; noise; radioisotope scanning and imaging; /sup 201/Tl heart image; artificial noise; computer-generated images; edge extraction algorithm; edge extraction technique; local threshold computation; mixture density identification; noisy images; unsupervised learning approach; Biomedical computing; Equations; Heart; Histograms; Image generation; Moment methods; Noise generators; Testing; Unsupervised learning; Working environment noise; Algorithms; Computer Systems; Heart; Humans; Image Processing, Computer-Assisted; Thallium Radioisotopes;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.55643
Filename
55643
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