RT Journal Article
JF IEEE Transactions on Computers
YR 1974
VO 23
IS
SP 1322
TI A Threshold Selection Technique
A1 J.S. Weszka,
A1 R.N. Nagel,
A1 A. Rosenfeld,
K1 Laplacian operator
K1 picture processing
K1 scene analysis
K1 segmentation
K1 thresholding.
AB 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.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9340
LA English
DO 10.1109/T-C.1974.223858
LK http://doi.ieeecomputersociety.org/10.1109/T-C.1974.223858