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Proceedings Paper

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

Paper Details

Date Published: 6 September 2019
PDF: 10 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111372A (6 September 2019);
Show Author Affiliations
Manuel G. Forero Sr., Univ. de Ibagué (Colombia)
Juan J. Lozano, Univ. de Ibagué (Colombia)
Sergio A. Balaguera-Reina, Univ. de Ibagué (Colombia)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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