Feature Extraction Languages and Visual Pattern Recognition - Versionsgeschichte

Gbachelier am 14. Januar 2015 um 09:15 Uhr

2015-01-14T09:15:31Z

Gbachelier: Die Seite wurde neu angelegt: „== Reference == M. Maghoumi and Brian J. Ross: Feature Extraction Languages and Visual Pattern Recognition. Brock COSC TR CS-14-03, January 2014. == …“

2015-01-14T09:11:05Z

Die Seite wurde neu angelegt: „== Reference == M. Maghoumi and Brian J. Ross: Feature Extraction Languages and Visual Pattern Recognition. Brock COSC TR CS-14-03, January 2014. == …“

Neue Seite

== Reference ==
M. Maghoumi and [[Brian J. Ross]]: [[Feature Extraction Languages and Visual Pattern Recognition]]. Brock COSC TR CS-14-03, January 2014.

== DOI ==

== Abstract ==
Visual pattern recognition and classification is a challenging com-
puter vision problem. Genetic programming has been applied to-
wards automatic visual pattern recognition. An important factor
in evolving effective classifiers is the suitability of the GP lan-
guage for defining expressions for feature extraction and classifi-
cation. This research presents a comparative study of a variety of
GP languages suitable for classification. Four different languages
are examined, which use different selections of image processing
operators. One of the languages does block classification, which
means that an entire region of pixels is classified simultaneously.
The other languages are pixel classifiers, which determine classifi-
cation for a single pixel. Pixel classifiers are more common in the
GP-vision literature. We tested the languages on different instances
of Brodatz textures, as well as aerial and camera images. Our re-
sults show that the most effective languages are pixel-based ones
with spatial operators. However, as is to be expected, the nature of
the image will naturally determine the effectiveness of the language
used.

== Extended Abstract ==

== Bibtex ==

== Used References ==
[1] P. Brodatz. Textures: a photographic album for artists and
designers, volume 66. Dover New York, 1966.
[2] M. Ebner. A real-time evolutionary object recognition
system. In Proceedings of the 12th European Conference on
Genetic Programming, EuroGP ’09, pages 268–279, Berlin,
Heidelberg, 2009. Springer-Verlag.
[3] M. Ebner. Towards automated learning of object detectors. In
Proceedings of the 2010 international conference on
Applications of Evolutionary Computation - Volume Part I,
EvoApplicatons’10, pages 231–240, Berlin, Heidelberg,
2010. Springer-Verlag.
[4] P. Espejo, S. Ventura, and F. Herrera. A survey on the
application of genetic programming to classification.
Systems, Man, and Cybernetics, Part C: Applications and
Reviews, IEEE Transactions on, 40(2):121–144, 2010.
[5] N. Harvey, S. Perkins, S. Brumby, J. Theiler, R. Porter,
A. Cody Young, A. Varghese, J. Szymanski, and J. Bloch.
Finding golf courses: The ultra high tech approach. In
S. Cagnoni, editor, Real-World Applications of Evolutionary
Computing, volume 1803 of Lecture Notes in Computer
Science, pages 54–64. Springer Berlin Heidelberg, 2000.
[6] D. Howard, S. C. Roberts, and R. Brankin. Target detection
in sar imagery by genetic programming. Adv. Eng. Softw.,
30(5):303–311, May 1999.
[7] T. Loveard and V. Ciesielski. Representing classification
problems in genetic programming. In Evolutionary
Computation, 2001. Proceedings of the 2001 Congress on,
volume 2, pages 1070–1077 vol. 2, 2001.
[8] D. Montana. Strongly Typed Genetic Programming.
Evolutionary Computation, 3(2):199–230, 1995.
[9] J. Nickolls, I. Buck, M. Garland, and K. Skadron. Scalable
parallel programming with cuda. Queue, 6(2):40–53, Mar.
2008.
[10] R. Poli. Genetic programming for feature detection and
image segmentation. In T. Fogarty, editor, Evolutionary
Computing, volume 1143 of Lecture Notes in Computer
Science, pages 110–125. Springer Berlin Heidelberg, 1996.
[11] R. Poli. Genetic programming for image analysis. In
Proceedings of the First Annual Conference on Genetic
Programming, pages 363–368. MIT Press, 1996.
[12] B. Ross, A. Gualtieri, F. Fueten, and P. Budkewitsch.
Hyperspectral Image Analysis Using Genetic Programming.
Applied Soft Computing, 5(2):147–156, 2005.
[13] A. Song. Texture Classification: a Genetic Programming
Approach. PhD thesis, RMIT University, April 2003.
[14] A. Song and V. Ciesielski. Fast texture segmentation using
genetic programming. In Evolutionary Computation, 2003.
CEC ’03. The 2003 Congress on, volume 3, pages
2126–2133 Vol.3, 2003.
[15] A. Song and V. Ciesielski. Texture analysis by genetic
programming. In Evolutionary Computation, 2004.
CEC2004. Congress on, volume 2, pages 2092–2099 Vol.2,
2004.
[16] A. Song, T. Loveard, and V. Ciesielski. Towards genetic
programming for texture classification. In M. Stumptner,
D. Corbett, and M. Brooks, editors, AI 2001: Advances in
Artificial Intelligence, volume 2256 of Lecture Notes in
Computer Science, pages 461–472. Springer Berlin
Heidelberg, 2001.
[17] W. A. Tackett. Genetic programming for feature discovery
and image discrimination. In Proceedings of the 5th
International Conference on Genetic Algorithms, pages
303–311, San Francisco, CA, USA, 1993. Morgan
Kaufmann Publishers Inc.
[18] J. F. Winkeler and B. Manjunath. Genetic programming for
object detection. In Genetic Programming 1997:
Proceedings of the Second Annual Conference, pages
330–335. Morgan Kaufmann, 1997.

== Links ==
=== Full Text ===
http://www.cosc.brocku.ca/files/downloads/research/cs1403.pdf

[[intern file]]

=== Sonstige Links ===

@@ Zeile 31: / Zeile 31: @@
 [1] P. Brodatz. Textures: a photographic album for artists and
 designers, volume 66. Dover New York, 1966.
 [2] M. Ebner. A real-time evolutionary object recognition
 system. In Proceedings of the 12th European Conference on
 Genetic Programming, EuroGP ’09, pages 268–279, Berlin,
 Heidelberg, 2009. Springer-Verlag.
 [3] M. Ebner. Towards automated learning of object detectors. In
 Proceedings of the 2010 international conference on
@@ Zeile 40: / Zeile 42: @@
 EvoApplicatons’10, pages 231–240, Berlin, Heidelberg,
 . Springer-Verlag.
 [4] P. Espejo, S. Ventura, and F. Herrera. A survey on the
 application of genetic programming to classification.
 Systems, Man, and Cybernetics, Part C: Applications and
 Reviews, IEEE Transactions on, 40(2):121–144, 2010.
 [5] N. Harvey, S. Perkins, S. Brumby, J. Theiler, R. Porter,
 A. Cody Young, A. Varghese, J. Szymanski, and J. Bloch.
@@ Zeile 50: / Zeile 54: @@
 Computing, volume 1803 of Lecture Notes in Computer
 Science, pages 54–64. Springer Berlin Heidelberg, 2000.
 [6] D. Howard, S. C. Roberts, and R. Brankin. Target detection
 in sar imagery by genetic programming. Adv. Eng. Softw.,
 (5):303–311, May 1999.
 [7] T. Loveard and V. Ciesielski. Representing classification
 problems in genetic programming. In Evolutionary
 Computation, 2001. Proceedings of the 2001 Congress on,
 volume 2, pages 1070–1077 vol. 2, 2001.
 [8] D. Montana. Strongly Typed Genetic Programming.
 Evolutionary Computation, 3(2):199–230, 1995.
 [9] J. Nickolls, I. Buck, M. Garland, and K. Skadron. Scalable
 parallel programming with cuda. Queue, 6(2):40–53, Mar.
 .
 [10] R. Poli. Genetic programming for feature detection and
 image segmentation. In T. Fogarty, editor, Evolutionary
 Computing, volume 1143 of Lecture Notes in Computer
 Science, pages 110–125. Springer Berlin Heidelberg, 1996.
 [11] R. Poli. Genetic programming for image analysis. In
 Proceedings of the First Annual Conference on Genetic
 Programming, pages 363–368. MIT Press, 1996.
 [12] B. Ross, A. Gualtieri, F. Fueten, and P. Budkewitsch.
 Hyperspectral Image Analysis Using Genetic Programming.
 Applied Soft Computing, 5(2):147–156, 2005.
 [13] A. Song. Texture Classification: a Genetic Programming
 Approach. PhD thesis, RMIT University, April 2003.
 [14] A. Song and V. Ciesielski. Fast texture segmentation using
 genetic programming. In Evolutionary Computation, 2003.
 CEC ’03. The 2003 Congress on, volume 3, pages
 –2133 Vol.3, 2003.
 [15] A. Song and V. Ciesielski. Texture analysis by genetic
 programming. In Evolutionary Computation, 2004.
 CEC2004. Congress on, volume 2, pages 2092–2099 Vol.2,
 .
 [16] A. Song, T. Loveard, and V. Ciesielski. Towards genetic
 programming for texture classification. In M. Stumptner,
@@ Zeile 88: / Zeile 103: @@
 Computer Science, pages 461–472. Springer Berlin
 Heidelberg, 2001.
 [17] W. A. Tackett. Genetic programming for feature discovery
 and image discrimination. In Proceedings of the 5th
@@ Zeile 93: / Zeile 109: @@
 –311, San Francisco, CA, USA, 1993. Morgan
 Kaufmann Publishers Inc.
 [18] J. F. Winkeler and B. Manjunath. Genetic programming for
 object detection. In Genetic Programming 1997: