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» Local Contrast Segmentation to Binarize Images
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CVPR
2007
IEEE
14 years 8 months ago
Learning to Detect A Salient Object
We study visual attention by detecting a salient object in an input image. We formulate salient object detection as an image segmentation problem, where we separate the salient obj...
Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heu...
ICDAR
2007
IEEE
14 years 1 months ago
Skeletonization by Gradient Regularization and Diffusion
This paper describes a skeletonization process for grayscale or color images based on the diffusion of the color gradient vectors by using a simple iterative regularization scheme...
Frank Lebourgeois, Hubert Emptoz
TMI
2002
248views more  TMI 2002»
13 years 6 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
CVPR
2010
IEEE
14 years 3 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
PAMI
2010
192views more  PAMI 2010»
13 years 5 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum