Show simple item record

dc.contributor.authorLičev, Lačezar
dc.contributor.authorBabiuch, Marek
dc.contributor.authorFabián, Tomáš
dc.contributor.authorFarana, Radim
dc.date.accessioned2013-11-13T15:04:10Z
dc.date.available2013-11-13T15:04:10Z
dc.date.issued2012
dc.identifier.citationActa Montanistica Slovaca. 2012, roč. 17, č. 3, s. 218-223.cs
dc.identifier.issn1335-1788
dc.identifier.urihttp://hdl.handle.net/10084/101270
dc.description.abstractIn this paper we describe the extension of system FOTOM capabilities with respect to segmentation of specific mining images. We focus on methods that are inherently resistant against noise present in experimental pit at VSB Technical University. Here, we describe procedures employing proven active contours and evolutionary algorithms for recognizing points of interest in the images that may serve in determining various parameters and properties of analyzed objects. We use the evolutionary algorithms to optimize the parameters of the gradient vector flow field and the parameters affecting the geometrical properties of closed curve used to approximate the location and shape of object boundaries. We suppose that evolutionary algorithms can be used to find the desired global solution. As the computation of gradient vector flow field and also the evolution of active contour are computationally very expensive, we incorporate the GPU acceleration. In conclusion, we compare our approach with common numerical methods on real industrial images segmentation.cs
dc.format.extent2541894 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherTechnická univerzita Košicecs
dc.relation.ispartofseriesActa Montanistica Slovacacs
dc.relation.urihttp://actamont.tuke.sk/pdf/2012/n3/12licev.pdfcs
dc.subjectmining imagecs
dc.subjectimage segmentationcs
dc.subjectactive contourcs
dc.subjectGVFcs
dc.subjectSOMAcs
dc.titleDevelopment of methods for the processing of mining images using genetic algorithmscs
dc.typearticlecs
dc.rights.accessrestrictedAccess
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume17cs
dc.description.issue3cs
dc.description.lastpage223cs
dc.description.firstpage218cs
dc.identifier.wos000324682000012


Files in this item

This item appears in the following Collection(s)

Show simple item record