detecção de regiões em cenários naturais utilizando um

detecção de regiões em cenários naturais utilizando um

DETECÇÃO DE REGIÕES EM CENÁRIOS NATURAIS UTILIZANDO
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ABSTRACT: This paper uses a catadioptric vision system to capture images of a natural agricultural
scenario and to perform the recognition of regions. This recognition can be useful to many applications in the mobile robotic area. The catadioptric vision systems aim to obtain a -degree vision of
the environment by using a combination of lenses and mirrors. The omnidirectional image obtained is
unwrapped and its quadrants are generated, which represents each side of the vehicle. The step of
segmentation using color band is applied based on the 2tsu Thresholding algorithm. ,n the last step of
the process, the regions of interest for each quadrant can be visuali]ed.
KEYWORDS: 2mnidirectional vision, agricultural mobile robots, catadiptric systems, agricultural outdoor environments.
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