BEGIN:VCALENDAR VERSION:2.0 PRODID:-//AUA Newsroom - ECPv6.2.9//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:AUA Newsroom X-ORIGINAL-URL:https://newsroom.aua.am X-WR-CALDESC:Events for AUA Newsroom REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Yerevan BEGIN:STANDARD TZOFFSETFROM:+0400 TZOFFSETTO:+0400 TZNAME:+04 DTSTART:20180101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Yerevan:20180413T180000 DTEND;TZID=Asia/Yerevan:20180413T190000 DTSTAMP:20240329T120038 CREATED:20180411T074900Z LAST-MODIFIED:20180411T084252Z UID:24146-1523642400-1523646000@newsroom.aua.am SUMMARY:Image Segmentation with Path Reducing Watershed on the GPU DESCRIPTION:About the Event: \nThe watershed transform is a popular image segmentation procedure from mathematical morphology used in many applications of computer vision. This work proposes a novel parallel watershed procedure designed for graphics processing unit (GPU) implementation. Our algorithm constructs paths of steepest descent and reduces these paths into direct pointers to catchment basin minima in logarithmic time\, also crucially incorporating successful resolution of plateaux. Three implementation variants and their parameters are analysed through experiments on 2D and 3D images; a comparison against the state-of-the-art shows a runtime improvement of around 30%. For 3D images of 128 megavoxels execution times of approximately 1.5–2 seconds are achieved.\n \nAbout the Speaker:  \nVarduhi Yeghiazaryan is a doctoral student at the Department of Computer Science\, University of Oxford. She received her BSc degree in Applied Mathematics and Informatics from the Russian-Armenian (Slavonic) University in 2012\, and her MSc degree in Computer Science from the University of Oxford in 2013. She recently joined the Foundation for Armenian Science and Technology as an Innovation Analyst. \nLanguage: English URL:https://newsroom.aua.am/event/image-segmentation-with-path-reducing-watershed-on-the-gpu/ LOCATION:314W\, PAB CATEGORIES:Events Calendar,Science & Engineering END:VEVENT END:VCALENDAR