Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Using Wavelet Transforms to Match Photographs of Individual Sperm Whales Identified by the Contour of the Trailing Edge of the Fluke

  • Conference paper
  • First Online:
Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

Included in the following conference series:

Abstract

Taking the wavelet transform of the trailing edge contour as metric and using cross correlation as measure of similarity successfully assists in matching different photographs of identified individual sperm whales. Given a photograph of a sperm whale fluke as input, the algorithm orders a collection of photographs as to similarity to the given fluke contour. Applied on a set of 293 photographs taken in Bleik Canyon, Norway, the algorithm correctly presented 40 pairs among the first five candidates, of which only 24 were found by human observers. Five known matches were not among the first five candidates.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arnbom, Tom. Individual Identification of Sperm Whales. In: Rep. Int. Whal. Commn. 37. (1987) 201–204.

    Google Scholar 

  2. Bannister, J.L. Report on the Assessment of Computer-aided Photographic Identification of Humpback Whales, Western Australia: Pilot Study and Related Items. Unpublished report to the Australian Nature Conservation Agency. (address: Western Australian Museum, Perth, Western Australia 6000 Australia) (1996) 13 pp

    Google Scholar 

  3. Bearzi, Giovanni: Photo-identification: matching procedures. In: Notarbartolo di Sciara, Giuseppe, Evens, Peter, Politi, Elena: ECS Newsletter no 23, Special Issue. (1994) 27–28.

    Google Scholar 

  4. Beck, Cathy A., Reid, James P.: An Automated Photo-identificatioin Catalog for Studies of the Life History of the Florida Manatee. US National Biological Service Information and Technology Report 1, (1995) 120–134.

    Google Scholar 

  5. Calambokidis, J., Cubbage, J.C., Steiger, G.H., Balcomb, K.C. and Bloedel, P. Population estimates of humpback whales in the Gulf of the Farallones, California. Reports to the International Whaling Commission (special issue 12) (1990) 325–333.

    Google Scholar 

  6. Castleman Kenneth R. Digital Image Processing. Prentice Hall, Upper Saddle River, New Jersey. (1996) 470–483

    Google Scholar 

  7. Childerhouse, S.J., Dawson S.M.: Stability of Fluke Marks used in individual photoidentification of male Sperm Whales at Kaikoura, New Zealand. In: Marine Mammal Science 12(3). (1996) 447–451.

    Article  Google Scholar 

  8. Cooper, Bruce. Automated Identification of Southern Right Whales. Honours Thesis in Information Technology, University of Western Australia. (1994)

    Google Scholar 

  9. Dufault, Susan, Whitehead, Hal.: An Assessment of Changes with Time in the Marking Patterns used for Photoidentification of individual Sperm Whales, Physeter Macrocephalus. In: Marine Mammal Science 11(3). (1995) 335–343.

    Article  Google Scholar 

  10. Dott, Hector, Best, Peter B. and Elmé Breytenbach. Computer-assisted Matching of Right Whale Callosity Patterns. Paper SC/45/0 18 presented to the International Whaling Commission Scientific Committee. (1993) 12pp.

    Google Scholar 

  11. Gonzalez, Rafael C., Woods, Richard E. Digital Image Processing. Addison Wesley Publishing Company. (1993) 443–457

    Google Scholar 

  12. Haralick, Robert M., Shapiro Linda G.: Computer and Robot Vision, Vol 1. Addison Wesley Publishing Company. (1992) 13–58

    Google Scholar 

  13. Hiby, Lex and Lovell, Phil. Computer Aided Matching of Natural Markings: A Prototype System for Grey Seals. Reports to the International Whaling Commission (special issue 12): (1990) 57–61.

    Google Scholar 

  14. Huele, Ruben, Udo de Haes, Helias: Identification of Individual Sperm Whales by Wavelet Transform of the Trailing Edge of the Flukes. In: Marine Mammal Science 14(1). (1998) 143–145.

    Article  Google Scholar 

  15. Jacobs, Charles E., Finkelstein, Adam and Salesin, David H. Fast Multiresolution Image Querying. University of Washington, Seattle. Technical report UW-CSE-95-01-06. (1995) 10pp.

    Google Scholar 

  16. Jähne, Bernd. Digital Image Processing, Concepts, Algorithms and Scientific Applications. Third Edition. Springer Verlag, Berlin Heidelberg New York (1995) 200–208

    MATH  Google Scholar 

  17. Katona, Steven K. and Beard, Judith A. Population Size, Migrations and Feeding Aggregations of the Humpback Whale (Megaptera Novaeangliae) in the Western North Atlantic Ocean. Reports to the International Whaling Commission (special issue 12) (1990) 295–305.

    Google Scholar 

  18. Letteval, Erland. Report to ANCRU: Description of the Fluke-key and division of Sections. AnCRU, Andenes (1998)

    Google Scholar 

  19. Lovell, Phil and Hiby, Lex. Automated Photo-identification or right whales and blue whales. Paper SC/42/PS5 presented to the International Whaling Commission Scientific Committee. (1990) 28pp.

    Google Scholar 

  20. Mizroch, S.A., Beard, J. and Lynde, M. Computer assisted photo-identification of humpback whales. Reports to the International Whaling Commission (special issue 12) (1990) 63–70.

    Google Scholar 

  21. Mizroch, S.A. and G.P Donovan, eds. Individual Recognition of Cetaceans: Use of Photoidentification and Other Techniques to Estimate Population Parameters. Rep. Int. Whal. Commn. Spec. Issue No. 12. (1990) 1–17.

    Google Scholar 

  22. Mizroch, S.A., Hobbes, R., Mattila, D., Baraff, L.S., and Higashi, N. A new survey protocol for capture-recapture studies in humpback whale winter grounds. Paper SC/48/0 18 presented to the International Whaling Commission Scientific Committee. (1996) 14pp.

    Google Scholar 

  23. Palacios, Daniel M., Mate, Bruce R.: Attack by False Killer Whales (pseudorca crassidens) on Sperm Whales in the Galapagos Islands. In: Marine Mammal Science 12(4) (1996) 582–587.

    Article  Google Scholar 

  24. Starck, J.-L., Murtagh, F., Bijaoui, A.: Image Processing and Data Analysis, The Multiscale Approach. Cambridge University Press (1998) 120–151

    Google Scholar 

  25. Stollnitz, Eric J., DeRose, Tony D. and Salesin, David H. 1994. Wavelets for Computer Graphics, Theory and Applications. Morgan Kaufmann Publishers, Inc. San Fransisco, California. (1996) 43–57

    Google Scholar 

  26. Strang, Gilbert and Truong Nguyen. Wavelets and Filter Banks. Wellesley-Cambridge Press. (1996) 362–364.

    Google Scholar 

  27. White, R.J., Prentice, H.C., and Verwijst, Theo. Automated image acquisiton and morphometric description. Canadian Journal of Botany. 66 (1988) 450–459.

    Google Scholar 

  28. Whitehead, Hal. Computer Assisted Individual Identification of Sperm Whale Flukes. Reports to the International Whaling Commission (special issue 12) (1990) 71–77.

    Google Scholar 

  29. Whitehead, H. Assessing Sperm Whale Polulations Using Natural Markings: Recent Progress. In: Hammond, P.S., Mizroch, S.A., Donovan, G.P, Individual Recognition of Cetaceans: Use of Photo-Identification and Other Techniques to Estimate Population Parameters. Internation Whaling Commission, Cambridge UK. (1990) 377–382

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre of Environmental Science, Leiden University, P.O.Box 9518, 2300 RA, Leiden, The Netherlands

    R. Huele

  2. Florida Department of Environmental Protection, Endangered and Threatened Species, Northeast Field Station, 7825 Baymeadows Way, Suite 200B, Jacksonville, FL, 32256

    J. N. Ciano

Authors
  1. R. Huele
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J. N. Ciano
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Huele, R., Ciano, J.N. (1999). Using Wavelet Transforms to Match Photographs of Individual Sperm Whales Identified by the Contour of the Trailing Edge of the Fluke. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_93

Download citation

  • DOI: https://doi.org/10.1007/3-540-48762-X_93

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation