Comparative study of methods for segmentation of digital images of birds

Authors:
Felipe de Sousa Nobre;Paulo César Miranda Machado;Rodrigo Pinto Lemos
Affiliations:
Escola de Engenharia Elétrica e da Computação, Universidade Federal de Goiás (UFG), Goiânia, GO, Brasil;Escola de Engenharia Elétrica e da Computação, Universidade Federal de Goiás (UFG), Goiânia, GO, Brasil;Escola de Engenharia Elétrica e da Computação, Universidade Federal de Goiás (UFG), Goiânia, GO, Brasil
Venue:
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Year:
2012

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Abstract

The observation of birds is important not only for academic reasons, but also for the monitoring of preservation areas. An important step for developing a program for automatic recognition of birds is the segmentation of the image, that is, highlighting the bird from the background in a digital image. This paper aims to present a comparative study using methods of segmentation in digital images of birds. In this work, a method based on cellular automata is compared with other method based on active contours.