BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Two-Stage/Three-Stage Method for Image Segmentation - Tieyong Zeng
  (Hong Kong Baptist University)
DTSTART:20171213T100000Z
DTEND:20171213T110000Z
UID:TALK96574@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:The Mumford&ndash\;Shah model is one of the most important ima
 ge segmentation models and has been studied extensively in the last twenty
  years. In this talk\, we propose a two-stage segmentation method based on
  the Mumford&ndash\;Shah model. The first stage of our method is to find a
  smooth solution to a convex variant of the Mumford&ndash\;Shah model. In 
 the second stage the segmentation is done by thresholding the previous ima
 ge into different phases. Experimental results show the good performance o
 f the proposed method. The idea is then generalized for image segmentation
  under non-Gaussian noise\, color image segmentation and selective image s
 egmentation for medical images.
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR