Computerized flow field analysis: oriented texture fields
Rao, A.R.
Jain, R.C.
Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1992
Volume: 14,
Issue: 7
On page(s): 693-709
ISSN: 0162-8828
References Cited: 59
CODEN: ITPIDJ
INSPEC Accession Number: 4241506
Digital Object Identifier: 10.1109/34.142908
Current Version Published: 2002-08-06
Abstract
An approach to the solution of signal-to-symbol transformation in
the domain of flow fields, such as oriented texture fields and velocity
vector fields, is discussed. The authors use the geometric theory of
differential equations to derive a symbol set based on the visual
appearance of phase portraits which are a geometric representation of
the solution curves of a system of differential equations. They also
provide the computational framework to start with a given flow field and
derive its symbolic representation. Specifically, they segment the given
texture, derive its symbolic representation, and perform a quantitative
reconstruction of the salient features of the original texture based on
the symbolic descriptors. Results of applying this technique to several
real texture images are presented. This technique is useful in
describing complex flow visualization pictures, defects in lumber
processing, defects in semiconductor wafer inspection, and optical flow
fields
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
