Lulio, Luciano C.Tronco, Mario L.Porto, Arthur J. V.2014-05-272014-05-272010-12-01IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings, p. 4970-4975.http://hdl.handle.net/11449/72052In this project, the main focus is to apply image processing techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. To carry through this task, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for pattern recognition. Therefore, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave platforms, along with the application of customized Back-propagation algorithm and statistical methods as structured heuristics methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of patterns in which reasonably accurate results were obtained. ©2010 IEEE.4970-4975engComputer visionImage segmentationMobile robotsPattern recognitionArtificial Neural NetworkHSV spaceImage processing techniqueMobile Robot NavigationNavigation problemOmnidirectional vision systemSegmentation techniquesSIMULINK environmentBackpropagation algorithmsImaging systemsIntelligent robotsNavigationNeural networksTrabalho apresentado em evento10.1109/IROS.2010.5649713Acesso aberto2-s2.0-78651518109