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MICCAI
2002
Springer
16 years 2 months ago
An Automated Segmentation Method of Kidney Using Statistical Information
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...
ECCV
2010
Springer
15 years 3 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang
ICIP
2001
IEEE
16 years 3 months ago
A comparative evaluation of algorithms for fast computation of level set PDEs with applications to motion segmentation
We address the problem of fast computation of level set partial differential equations (PDEs) in the context of motion segmentation. Although several fast level set computation al...
Abdol-Reza Mansouri, Thierry Chomaud, Janusz Konra...
CVPR
2008
IEEE
16 years 3 months ago
A Bayesian approach for image segmentation with shape priors
Color and texture have been widely used in image segmentation; however, their performance is often hindered by scene ambiguities, overlapping objects, or missing parts. In this pa...
Hang Chang, Qing Yang, Bahram Parvin
ICIP
1999
IEEE
16 years 3 months ago
Simplified Segmentation for Compound Image Compression
There are three basic segmentation schemes for compound image compression: object-based, layer-based, and block-based. This work discusses the relative advantages of each scheme a...
Amir Said, Alexander Drukarev