Individual identification automation in Crocodylians through imagery processing: American Crocodile as a study case

Manuel G. Forero, Juan J. Lozano, Sergio A. Balaguera-Reina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The identification of a crocodile is a complex process. The most used method is invasive and dangerous. Recently, a new method, non-invasive, was introduced, in which the crocodile is identified by its number of post-occipital scales, nuchals, and backs. However, the scale count is done manually. In this work, we present a method based on image processing for the identification and counting of scales improving the above-mentioned method. The results obtained are reproducible and more reliable, facilitating the identification of the crocodiles for their population study.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XLII
EditorsAndrew G. Tescher, Touradj Ebrahimi
PublisherSPIE
ISBN (Electronic)9781510629677
DOIs
StatePublished - 1 Jan 2019
EventApplications of Digital Image Processing XLII 2019 - San Diego, United States
Duration: 12 Aug 201915 Aug 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11137
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplications of Digital Image Processing XLII 2019
CountryUnited States
CitySan Diego
Period12/08/1915/08/19

Keywords

  • Individual crocodile Identification
  • Non-Gaussian noise elimination
  • Scutes counting
  • Textures segmentation

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  • Cite this

    Forero, M. G., Lozano, J. J., & Balaguera-Reina, S. A. (2019). Individual identification automation in Crocodylians through imagery processing: American Crocodile as a study case. In A. G. Tescher, & T. Ebrahimi (Eds.), Applications of Digital Image Processing XLII [111372A] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11137). SPIE. https://doi.org/10.1117/12.2528773