JSEG-based image segmentation in computer vision for agricultural mobile robot navigation

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorLulio, Luciano C.
dc.creatorTronco, Mario L.
dc.creatorPorto, Arthur J. V.
dc.date2014-05-27T11:24:03Z
dc.date2016-10-25T18:27:44Z
dc.date2014-05-27T11:24:03Z
dc.date2016-10-25T18:27:44Z
dc.date2009-12-01
dc.date.accessioned2017-04-06T01:38:16Z
dc.date.available2017-04-06T01:38:16Z
dc.identifierProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA, p. 240-245.
dc.identifierhttp://hdl.handle.net/11449/71284
dc.identifierhttp://acervodigital.unesp.br/handle/11449/71284
dc.identifier10.1109/CIRA.2009.5423201
dc.identifier2-s2.0-77951186501
dc.identifierhttp://dx.doi.org/10.1109/CIRA.2009.5423201
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/892287
dc.descriptionThis project aims to apply image processing techniques in computer vision featuring 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 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.
dc.languageeng
dc.relationProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComputer vision
dc.subjectImage processing
dc.subjectImage segmentation
dc.subjectMobile robots
dc.subjectArtificial Neural Network
dc.subjectHSV space
dc.subjectImage processing technique
dc.subjectMobile Robot Navigation
dc.subjectNavigation problem
dc.subjectOmnidirectional vision system
dc.subjectSIMULINK environment
dc.subjectBackpropagation algorithms
dc.subjectDigital image storage
dc.subjectEvolutionary algorithms
dc.subjectImaging systems
dc.subjectNavigation
dc.subjectNeural networks
dc.subjectRobotics
dc.subjectWireless networks
dc.titleJSEG-based image segmentation in computer vision for agricultural mobile robot navigation
dc.typeOtro


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