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MIA
2011
111views more  MIA 2011»
14 years 7 months ago
Segmenting the prostate and rectum in CT imagery using anatomical constraints
The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy application...
Siqi Chen, D. Michael Lovelock, Richard J. Radke
ACIVS
2007
Springer
15 years 6 months ago
Grass Detection for Picture Quality Enhancement of TV Video
Current image enhancement in televisions can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with specifically optimized alg...
Bahman Zafarifar, Peter H. N. de With
79
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ICPR
2008
IEEE
16 years 1 months ago
Segmentation robust to the vignette effect for machine vision systems
The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In...
Dimosthenis Karatzas, Marçal Rusiñol...
CIS
2004
Springer
15 years 5 months ago
Automatic Segmentation Technique Without User Modification for 3D Visualization in Medical Images
Abstract. It is necessary to analyze an image from CT or MR and then to segment an image of a certain organ from that of other tissues for 3D (ThreeDimensional) visualization. Ther...
Won Seong, Eui-Jeong Kim, Jong-Won Park
ICIP
2005
IEEE
16 years 2 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung