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IBPRIA
2003
Springer
16 years 9 days ago
Set-Permutation-Occurrence Matrix Based Texture Segmentation
Abstract. We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture ...
Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R...
CIVR
2009
Springer
212views Image Analysis» more  CIVR 2009»
16 years 1 months ago
NUS-WIDE: a real-world web image database from National University of Singapore
This paper introduces a web image dataset created by NUS’s Lab for Media Search. The dataset includes: (1) 269,648 images and the associated tags from Flickr, with a total of 5,...
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie L...
SIGGRAPH
1999
ACM
15 years 11 months ago
Multi-color and Artistic Dithering
A multi-color dithering algorithm is proposed, which converts a barycentric combination of color intensities into a multi-color nonoverlapping surface coverage. Multi-color dither...
Victor Ostromoukhov, Roger D. Hersch
CVPR
2007
IEEE
16 years 9 months ago
Recognizing objects by piecing together the Segmentation Puzzle
We present an algorithm that recognizes objects of a given category using a small number of hand segmented images as references. Our method first over segments an input image into...
Jianbo Shi, Timothée Cour
MICCAI
2009
Springer
16 years 8 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger