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

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

doi:10.1117/12.2528773

6 September 2019 Individual identification automation in Crocodylians through imagery processing: American Crocodile as a study case

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

Author Affiliations +

Proceedings Volume 11137, Applications of Digital Image Processing XLII; 111372A (2019) https://doi.org/10.1117/12.2528773
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

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.

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Manuel G. Forero Sr., Juan J. Lozano, and Sergio A. Balaguera-Reina "Individual identification automation in Crocodylians through imagery processing: American Crocodile as a study case", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111372A (6 September 2019); https://doi.org/10.1117/12.2528773

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KEYWORDS

Image processing

Photography

Databases

RGB color model

Cameras

Digital filtering

Visualization

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