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» A probabilistic framework for image segmentation
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ECCV
2010
Springer
14 years 1 months ago
Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation
Abstract. We address the problem of having insufficient labels in an interactive image segmentation framework, for which most current methods would fail without further user inter...
DAGM
1998
Springer
13 years 12 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ECCV
2002
Springer
14 years 9 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
CVPR
2007
IEEE
14 years 9 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar
ICIP
2003
IEEE
14 years 1 months ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia