Toward a symbolic representation of intensity changes in images
Korn, A.F.
Fraunhofer Inst. fur Inf. und Datenverabeitung, Karlsruhe;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Sep 1988
Volume: 10,
Issue: 5
On page(s): 610-625
ISSN: 0162-8828
References Cited: 27
CODEN: ITPIDJ
INSPEC Accession Number: 3310481
Digital Object Identifier: 10.1109/34.6770
Current Version Published: 2002-08-06
Abstract
The symbolic representation of gray-value variations is studied,
with emphasis on the gradient of the image function. The goal is to
relate the results of this analysis to the structure of the picture,
which is determined by the physics of the image generation process.
Candidates for contour points are the maximal magnitudes of the
gray-value gradient for different scales in the direction of the
gradient. Based on the output of such a bank of gradient filters, a
procedure is proposed to select automatically a suitable scale, and with
that, the size of the right convolution kernel. The application of
poorly adapted filters, which make the exact localization of gray-value
corners or T-, X-, and Y-junctions more
difficult, is thus avoided. Possible gaps at such junctions are
discussed for images of real scenes, and possibilities for the closure
of some of these gaps are demonstrated when the extrema of the
magnitudes of the gray-value gradients are used
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
