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» Level set image segmentation with Bayesian analysis
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CVPR
2006
IEEE
16 years 5 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
3DICA
2000
15 years 4 months ago
Impact of Intensity Edge map on Segmentation of Noisy Range Images
In this paper, we investigate the impact of intensity edge maps (IEMs) on the segmentation of noisy range images. Two edgebased segmentation algorithms are considered. The first i...
Yan Zhang, Yiyong Sun, Hamed Sari-Sarraf, Mongi A....
IPMI
2009
Springer
16 years 4 months ago
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
Carl-Fredrik Westin, W. Eric L. Grimson, Xiaogang ...
ICPR
2010
IEEE
15 years 5 months ago
Flooding and MRF-Based Algorithms for Interactive Segmentation
We propose a method for interactive colour image segmentation. The goal is to detect an object from the background, when some markers on object(s) and the background are given. As...
Ilias Grinias, Nikos Komodakis, G. Tziritas
185
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MICAI
2010
Springer
15 years 1 months ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...