Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Riccardo Poli: Genetic Programming for Image Analysis. TR Number CSRP-96-1, January 1996. == DOI == == Abstract == This paper describes an…“

2014-11-23T20:17:41Z

Die Seite wurde neu angelegt: „ == Reference == Riccardo Poli: Genetic Programming for Image Analysis. TR Number CSRP-96-1, January 1996. == DOI == == Abstract == This paper describes an…“

Neue Seite

== Reference ==
Riccardo Poli: Genetic Programming for Image Analysis. TR Number CSRP-96-1, January 1996.

== DOI ==

== Abstract ==
This paper describes an approach to us-
ing GP for image analysis based on the
idea that image enhancement, feature de-
tection and image segmentation can be
re-framed as filtering problems. GP can
discover efficient optimal filters which
solve such problems but in order to make
the search feasible and effective, termi-
nal sets, function sets and fitness func-
tions have to meet some requirements.
We describe these requirements and we
propose terminals, functions and fitness
functions that satisfy them. Experiments
are reported in which GP is applied to
the segmentation of the brain in medi-
cal images and is compared with artifi-
cial neural nets.

== Extended Abstract ==

== Bibtex ==

== Used References ==
[Andre, 1994] Andre, D. (1994). Automatically defined fea-
tures: the simulataneous evolution of 2-dimensional fea-
ture detectors and an algorithm for using them. In K. E.
Kinnear, Jr., editor, Advances in Genetic Programming,
chapter 23, pages 477–494. MIT Press.

[Ballard and Brown, 1982] Ballard, D. and Brown, C.
(1982). Computer Vision. Prentice-Hall, Englewood Cliff,
NJ.

[Breunig, 1995] Breunig, M. M. (1995). Location indepen-
dent pattern recognition using genetic programming. In
Koza, J. R., editor, Genetic Algorithms and Genetic Pro-
gramming at Stanford 1995, pages 29–38. Stanford Book-
store, Stanford University.

[Coppini et al., 1992] Coppini, G., Poli, R., Rucci, M., and
Valli, G. (1992). A neural network architecture for under-
standing 3D scenes in medical imaging. Computer and
Biomedical Research, 25:569–585.

[K. E. Kinnear, Jr., 1994] K. E. Kinnear, Jr., editor (1994).
Advances in Genetic Programming. MIT Press.

[Koza, 1992] Koza, J. R. (1992). Genetic Programming: On
the Programming of Computers by Means of Natural Se-
lection. MIT Press.

[Koza, 1994] Koza, J. R. (1994). Genetic Programming II:
Automatic Discovery of Reusable Programs. MIT Pres,
Cambridge, Massachusetts.

[Poli and Valli, 1996] Poli, R. and Valli, G. (1996). Hop-
field neural nets for the optimum segmentation of medical
images. In Fiesler, E. and Beale, R., editors, Handbook
of Neural Computation, chapter G.5.5. Oxford University
Press. (in press).

[Riolo and Line, 1995] Riolo, R. L. and Line, M. P. (1995).
Automatic discovery of classification and estimation algo-
rithms for earth-observation satellite imagery. In Siegel,
E. S. and Koza, J. R., editors, Working Notes for the AAAI
Symposium on Genetic Programming, pages 73–77, MIT,
Cambridge, MA, USA. AAAI.

[Tackett, 1993] Tackett, W. A. (1993). Genetic programming
for feature discovery and image discrimination. In Inter-
national Conference on Genetic Algorithms.

[Teller and Veloso, 1995] Teller, A. and Veloso, M. (1995).
A controlled experiment: Evolution for learning difficult
image classification. In Seventh Portuguese Conference
On Artificial Intelligence. Springer-Verlag.

== Links ==
=== Full Text ===
http://cswww.essex.ac.uk/staff/rpoli/papers/Poli-GP1996.pdf

[[intern file]]

=== Sonstige Links ===
http://citeseer.ist.psu.edu/583482.html

Genetic Programming for Image Analysis - Versionsgeschichte

Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Riccardo Poli: Genetic Programming for Image Analysis. TR Number CSRP-96-1, January 1996. == DOI == == Abstract == This paper describes an…“