Mud and dirt separation method for floor cleaning robot

dc.contributor.authorMilinda, HGT
dc.contributor.authorMadhusanka, BGDA
dc.date.accessioned2018-08-03T21:26:05Z
dc.date.available2018-08-03T21:26:05Z
dc.date.issued2017
dc.description.abstractFloor cleaning robot has gained popularity in the European country. When people are busy with their work, the robot is to take over house cleaning task. Most of the service robot technologies become more and more matured so that applications far beyond fetch and carry tasks will be possible in near future. Most of the robot perform one task at the time. To be of any use, cleaning robots should be able to monitor the outcome of their work, or the need to remove dirt at the beginning for point-wise cleaning. This paper presents an approach towards the detection of various dirt on textured surfaces using a Camera image. The algorithm aims at removing the regular part of the image with spectral residual filtering leaving only the dirt and some noise and introduced a novel method to identify mud on the floor. With further post-processing, it is possible to localize many kinds of dirt in the image.en_US
dc.identifier.conferenceMoratuwa Engineering Research Conference - MERCon 2017en_US
dc.identifier.emailmilindahg@gmail.comen_US
dc.identifier.emailbgmad@ou.ac.lken_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13358
dc.identifier.year2017en_US
dc.language.isoenen_US
dc.subjectFloor cleaning roboten_US
dc.subjectmaximally stable extremal regions (MSER)
dc.subjectspectral residual filter
dc.subjectMud detection method
dc.titleMud and dirt separation method for floor cleaning roboten_US
dc.typeConference-Abstracten_US

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