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

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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaApplications of Digital Image Processing XLII
EditoresAndrew G. Tescher, Touradj Ebrahimi
EditorialSPIE
ISBN (versión digital)9781510629677
DOI
EstadoPublicada - 1 ene 2019
EventoApplications of Digital Image Processing XLII 2019 - San Diego, Estados Unidos
Duración: 12 ago 201915 ago 2019

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen11137
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaApplications of Digital Image Processing XLII 2019
PaísEstados Unidos
CiudadSan Diego
Período12/08/1915/08/19

Huella Profundice en los temas de investigación de 'Individual identification automation in Crocodylians through imagery processing: American Crocodile as a study case'. En conjunto forman una huella única.

  • Citar esto

    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. En 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