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» Level Set Based Image Segmentation with Multiple Regions
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DSSCV
2005
Springer
15 years 7 months ago
Histogram Statistics of Local Model-Relative Image Regions
Abstract. We present a novel approach to statistically characterize histograms of model-relative image regions. A multiscale model is used as an aperture to define image regions a...
Robert E. Broadhurst, Joshua Stough, Stephen M. Pi...
ISBI
2004
IEEE
16 years 2 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
CVPR
2011
IEEE
14 years 8 months ago
Global Contrast based Salient Region Detection
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their content, and thus remains an important step in many computer vision ...
Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xi...
CVPR
2007
IEEE
16 years 4 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...
ICIAP
1997
ACM
15 years 6 months ago
Image Retrieval by Color Regions
—A major research subject in image databases is to support efficient and effective access to images based on their visual content. In color image databases, this requires to sup...
Alberto Del Bimbo, Mauro Mugnaini, Pietro Pala, F....