The Dynamic Image Segmentation for Sign Language Training Simulator. Oles Hodych, Kostiantyn Hushchyn, Iouri Nikolski, Volodymyr Pasichnyk, Yuri Shcherbyna

Abstract. Thepaperdiscussestheproblemofnoisereductionfortheimprovementofthehandrecognitioninasequence ofvideoframes.Thepresentedresultswereobtainedasapartofalargerproject,whichhasanobjectivetobuilda trainingsimulatorforUkrainianSignLanguage.Theproposedsolutionforimagesegmentationisbuildaroundthedata miningtechniques,whicharebasedonclusteringalgorithmsusingSelf-OrganizingMaps.Aparticularemphasisin thisresearchismadeontheimagepreparationforSelf-OrganizingMaptraining,inordertoprovidethemostoptimal similaritymeasurementbetweendifferentimagesegments.

Keywords. Imagesegmentation,clustering,Self-OrganizingMaps.

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