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» Modelling perception using image processing algorithms
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DAGM
2006
Springer
15 years 7 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
ICIP
2003
IEEE
16 years 5 months ago
Graylevel alignment between two images using linear programming
A critical step in defect detection for semiconductorprocess is to align a test image against a reference. This includes both spatial alignment and grayscale alignment. For the la...
E. Y. Lam
CIVR
2007
Springer
138views Image Analysis» more  CIVR 2007»
15 years 10 months ago
SemRetriev: an ontology driven image retrieval system
This paper describes the technical details of SemRetriev, a prototype system for image retrieval which combines the use of an ontology which structures an image repository and of ...
Adrian Popescu, Pierre-Alain Moëllic, Christo...
PAMI
2008
181views more  PAMI 2008»
15 years 4 months ago
Automatic Estimation and Removal of Noise from a Single Image
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawre...
CVPR
2008
IEEE
16 years 6 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu