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» Applying EM Algorithm for Segmentation of Textured Images
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VCIP
2003
170views Communications» more  VCIP 2003»
13 years 10 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
CVPR
2008
IEEE
14 years 10 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
ISBI
2011
IEEE
13 years 11 days ago
Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry trans
In this paper, we propose a graph-based method for fullyautomatic segmentation of the left ventricle and atrium in 3D ultrasound (3DUS) volumes. Our method requires no user input ...
Radford Juang, Elliot R. McVeigh, Beatrice Hoffman...
SSPR
1998
Springer
14 years 26 days ago
Tracking of Rotating Objects
Abstract. A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of grap...
Gabriele Peters, Christian Eckes, Christoph von de...
BIOCOMP
2008
13 years 9 months ago
Improved Segmentation Based on Probabilistic Labeling
⎯This paper presents an improved multi-object segmentation algorithm based on probabilistic labeling. First, a critical look is focused on utilizing vector calculus operator and ...
Kai-Chieh Yang, Ming-Chi Jhuang, Chun-Shun Tseng, ...