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ICPR
2008
IEEE
16 years 1 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
IPCV
2007
15 years 8 months ago
Extracting the Major Form Body Segment from Unconstrained Document Images
Abstract In the analysis of any unconstrained document image it is necessary to first decide what the main area of interest is. Previous work has been done on simply removing the ...
John Bunch, Dean Curtis, Christopher Jones, Jia Ts...
IJCV
2002
188views more  IJCV 2002»
15 years 6 months ago
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
We propose a new multiphase level set framework for image segmentation using the Mumford and Shah model, for piecewise constant and piecewise smooth optimal approximations. The pro...
Luminita A. Vese, Tony F. Chan
178
Voted
ECCV
2004
Springer
16 years 8 months ago
Learning to Segment
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
Eran Borenstein, Shimon Ullman
CVPR
2007
IEEE
16 years 8 months ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon