Publicacions CVCDisplays records where serial is equal to 22862024-03-29T11:23:28+01:00Publicacions CVCsi@cvc.uab.eshttp://refbase.cvc.uab.es/Web Reference Database (http://refbase.sourceforge.net)http://refbase.cvc.uab.es/img/favicon.icohttp://refbase.cvc.uab.es/img/logo.pnghttp://refbase.cvc.uab.es/show.php?where=serial%20%3D%202286&showRows=15&citeStyle=Chicago&exportType=xml&submit=Export&exportFormat=Atom%20XML111http://refbase.cvc.uab.es/show.php?record=2286
Impact of Image Preprocessing Methods on Polyp Localization in Colonoscopy Frames
In this paper we present our image preprocessing methods as a key part of our automatic polyp localization scheme. These methods are used to assess the impact of different endoluminal scene elements when characterizing polyps. More precisely we tackle the influence of specular highlights, blood vessels and black mask surrounding the scene. Experimental results prove that the appropriate handling of these elements leads to a great improvement in polyp localization results.
Impact of Image Preprocessing Methods on Polyp Localization in Colonoscopy FramesJorge BernalF. Javier SanchezFernando Vilariñoinfo:doi/10.1109/EMBC.2013.6611256openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=proceeding&title=Impact%20of%20Image%20Preprocessing%20Methods%20on%20Polyp%20Localization%20in%20Colonoscopy%20Frames&issn=1557-170X&date=2013&spage=7350&epage=7354&aulast=Jorge%20Bernal&au=F.%20Javier%20Sanchez&au=Fernando%20Vilari%C3%B1o&id=info%3Adoi%2F10.1109%2FEMBC.2013.6611256&sid=refbase%3ACVCJorge Bernal, F. Javier Sanchez, & Fernando Vilariño. (2013).<a target='_blank' href='/files/BSV2013.pdf'> "Impact of Image Preprocessing Methods on Polyp Localization in Colonoscopy Frames "</a> In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 7350-7354).2013ConferencePapertextfile:http://refbase.cvc.uab.es/files/BSV2013.pdf1557-170X35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society201373507354