Effective feature extraction by trace transform for insect footprint recognition

2008 3rd International Conference on Bio-Inspired Computing: Theories and Applications, BICTA 2008

Volumn , Issue , 2008, Pages 97-102

  Shin, Bok Suk ^a   Cha, Eui Young ^a   Kim, Kwang Baek ^b   Cho, Kyoung Won ^c   Klette, Reinhard ^d   Young, Woon Woo ^e  

^a Pusan National University   (South Korea)

^b Silla University   (South Korea)

^c Choonhae College ^*  (South Korea)

^d UNIVERSITY OF AUCKLAND   (New Zealand)

^e Dong Eui University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA STRUCTURES; FILE ORGANIZATION; IMAGE ENHANCEMENT; PAPER;

AUTOMATIC THRESHOLDS; CLASSIFICATION PROCESSES; FOOTPRINT PATTERNS; SEGMENTED IMAGES; SOM ALGORITHMS; TRANSFORM TECHNIQUES;

FEATURE EXTRACTION;

EID: 57849086517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BICTA.2008.4656710     Document Type: Conference Paper

References (17)

1. (2008) Connovation - equipment instructions. [Online]. Available: http://www.connovation.co.nz/ProductDetail.aspx?id=9
2. D.A. Whisson, R.M. Engeman, and K. Collins, "Developing relative abundance techniques(RATs) for monitoring rodent population," Wildlife Research, Vol.32, pp.239-244, 2005.
3. L. Deng, D. J. Bertinshaw, R. Klette, G. Klette, and D. Jeffries, "Footprint identification of weta and other insects," Proceedings of Image Vision Computing, New Zealand, pp.191-196, 2004.
4. J. Gray, Sir, Animal Locomotion, London, Weidenfeld & Nicolson, 1968.
5. N. Hasler, R. Klette, B. Rosenhahn, and W. Agnew, "Footprint recognition of rodents and insects," The University of Auckland:Technical Report in CITR, 2004.
6. B.S. Shin, E.Y. Cha, Y.W. Woo and R. Klette, "Segmentation of Scanned Insect Footprints Using ART2 for Threshold Selection," LNCS 4872, Springer-Verlag, pp.311-320, 2007.
7. B.S. Shin, E.Y. Cha, K.B. Kim, and Y.W. Woo, "Recognition of Clustered Insect Footprint Using FFT Transform and Fuzzy Weighted Mean," Proceedings of Winter Local Conference, Korean Institute of Intelligent Systems, Busan, 2008.
8. S.S. Wilson, "Theory of Matrix Morphology," IEEE PAMI, Vol.14, pp.636-652, 1992.
9. P. Soille, Morphological Image Analysis: Principles and Applications, Springer-Verlag, 2nd edition, 2003.
10. M.V. Droogenbroeck and M.J. Buckley, "Morphological Erosions and Openings: Fast Algorithms Based on Anchors," Mathematical Imaging and Vision, Vol.22, pp.121-142, 2005.
11. M. Chester, Neural Networks: A Tutorial, Prentice Hall, 1993.
12. T. Kohonen, "Self-Organizing Maps," Springer Series in Information Sciences, 3rd edition, 2001.
13. G.A. Carpenter and S. Grossberg,"The ART of adaptive pattern recognition by a self-organizing neural network," Computer Vol.21, pp.77-88, 1988.
14. S. Haykin, Neural Networks: A Comprehensive Foundation, MacMillan, 1994.
15. A. Kadyrov and M. Petrou,"The Trace Transform and Its Applications," IEEE Transactions on Pattern Analysis and Machine Intelligence Vol.23, No.8, pp.811-828, 2001.
16. M. Petrou and A. Kadyrov, "Affine Invariant Features from the Trace Transform," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.26, No.1, pp.30-44, 2004.
17. N. Fedotov and L. Shulga, "New Geometric Transform Based on Stochastic Geometry in the Context of Pattern Recognition," LNCS 2749, Springer-Verlag, pp.148-155, 2003.