Advertisement

Photo-Identification of Humpback and Gray Whales Using Affine Moment Invariants

  • N. Kehtarnavaz
  • V. Peddigari
  • C. Chandan
  • W. Syed
  • G. Hillman
  • B. Wursig
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

This paper discusses the identification of humpback and gray whales based on images of their flukes. White patches appearing on a fluke constitute unique identifying features which are used here to match a query fluke image against a database of fluke images. The fluke area is first extracted from a fluke image via the live-wire edge detection algorithm. Optimal thresholding is then applied to the fluke area to obtain the patches on the fluke automatically. Next, the affine moment invariants of patches are computed and stored in a feature database. Finally, the database images are ranked depending on the degree of similarity between the query and database invariants. The results obtained are presented in the form of a performance box plot showing the reduction in the amount of manual search for various percentages of test images.

References

  1. 1.
    Araabi, B.N.: Syntactic/Semantic Curve-Matching and Photo-Identification of Dolphins and Whales. PhD Dissertation, Texas A&M University (2001)Google Scholar
  2. 2.
    Araabi, B.N., Kehtarnavaz, N., McKinney, T., Hillman, G., Wursig, B.: A String Matching Computer-Assisted System for Dolphin Photo-identification. Annals of Biomedical Engineering, Vol. 28. (2000), 1269–1279CrossRefGoogle Scholar
  3. 3.
    WhaleNet-http://whale.wheelock.eduGoogle Scholar
  4. 4.
    Flusser, J., Suk, T.: Pattern Recognition by Affine Moment Invariants. Pattern Recognition, Vol. 26. (1993) 167–174CrossRefMathSciNetGoogle Scholar
  5. 5.
    Mortensen, E., Barrett, W.: Interactive Segmentation with Intelligent Scissors. Graphical Models and Image Processing, Vol. 60. (1998) 349–384zbMATHCrossRefGoogle Scholar
  6. 6.
    Hillman, G., Wursig, B., Gailey, G., Kehtarnavaz, N., et. al: Finscan: a computer system for photographic identification of marine mammals. Proceedings of the 24th EMBS International Conference, Houston (2002)Google Scholar
  7. 7.
    Otsu, N.: A Threshold Selection Method from Gray-Level Histogram. IEEE Transactions on System, Man, Cybernetics, Vol. SMC-9 (1979) 62–66Google Scholar
  8. 8.
    Hu, M.: Visual Pattern Recognition by Moment Invariants. IRE Trans. Inf. Theory, IT-8. (1962) 179–187Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • N. Kehtarnavaz
    • 1
  • V. Peddigari
    • 1
  • C. Chandan
    • 1
  • W. Syed
    • 1
  • G. Hillman
    • 2
  • B. Wursig
    • 3
  1. 1.Department of Electrical EngineeringUniversity of Texas at DallasDallas
  2. 2.Department of PharmacologyUniversity of Texas Medical Branch at GalvestonGalveston
  3. 3.Marine Biology DepartmentTexas A&M UniversityUSA

Personalised recommendations