DocumentCode
1114237
Title
A Threshold Selection Technique
Author
Weszka, J.S. ; Nagel, R.N. ; Rosenfeld, A.
Author_Institution
Computer Science Center, University of Maryland
Issue
12
fYear
1974
Firstpage
1322
Lastpage
1326
Abstract
Threshold selection for picture segmentation is relatively easy when the frequency distribution of gray levels in the picture is strongly bimodal, with the two peaks comparable insize and separated by a deep valley. This report describes a method of handling cases in which the peaks are very unequal in size and the valley is broad. A Laplacian operation is applied to the picture to determine points that lie on or near the edges of objects. Threshold selection becomes easier when the frequency distribution of gray levels of these points is used.
Keywords
Laplacian operator, picture processing, scene analysis, segmentation, thresholding.; Computer science; Detectors; Digital filters; Frequency; Histograms; Image analysis; Image processing; Laplace equations; Laplacian operator, picture processing, scene analysis, segmentation, thresholding.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1974.223858
Filename
1672451
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