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CVPR
2008
IEEE
16 years 3 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson
ISBI
2007
IEEE
15 years 8 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ISVC
2010
Springer
14 years 11 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...
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MICCAI
2008
Springer
16 years 2 months ago
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph
Automatic image analysis of histopathology specimens would help the early detection of blood cancer. The first step for automatic image analysis is segmentation. However, touching ...
Lin Yang, Oncel Tuzel, Peter Meer, David J. For...
BILDMED
2007
128views Algorithms» more  BILDMED 2007»
15 years 3 months ago
Network Snakes for the Segmentation of Adjacent Cells in Confocal Images
Network snakes constitute one of the latest advances in the research of image segmentation techniques: they integrate topology into active contour models. This concept is applied t...
Matthias Butenuth, Fritz Jetzek