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IPMI
2009
Springer
14 years 9 months ago
Estimation of Inferential Uncertainty in Assessing Expert Segmentation Performance from STAPLE
The evaluation of the quality of segmentations of an image, and the assessment of intra- and inter-expert variability in segmentation performance, has long been recognized as a dic...
Olivier Commowick, Simon K. Warfield
ICIP
2008
IEEE
14 years 3 months ago
Graph-cut optimization of the ratio of functions and its application to image segmentation
Optimizing the ratio of two functions of binary variables is a common task in many image analysis applications. In general, such a ratio is not amenable to graph-cut based optimiz...
Hui Wang, Nilanjan Ray, Hong Zhang
ECCV
2010
Springer
13 years 11 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
JSCIC
2010
231views more  JSCIC 2010»
13 years 3 months ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
14 years 2 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...