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dc.contributor.author Milinda, HGT
dc.contributor.author Madhusanka, BGDA
dc.date.accessioned 2018-08-03T21:26:05Z
dc.date.available 2018-08-03T21:26:05Z
dc.date.issued 2017
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13358
dc.description.abstract Floor 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.language.iso en en_US
dc.subject Floor cleaning robot en_US
dc.subject maximally stable extremal regions (MSER)
dc.subject spectral residual filter
dc.subject Mud detection method
dc.title Mud and dirt separation method for floor cleaning robot en_US
dc.type Conference-Abstract en_US
dc.identifier.year 2017 en_US
dc.identifier.conference Moratuwa Engineering Research Conference - MERCon 2017 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.email milindahg@gmail.com en_US
dc.identifier.email bgmad@ou.ac.lk en_US


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