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» Image Segmentation Using Local Variation
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MMM
2012
Springer
313views Multimedia» more  MMM 2012»
12 years 5 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
CRV
2006
IEEE
128views Robotics» more  CRV 2006»
14 years 4 months ago
Local Stereo Matching with Segmentation-based Outlier Rejection
We present a new window-based stereo matching algorithm which focuses on robust outlier rejection during aggregation. The main difficulty for window-based methods lies in determi...
Mark Gerrits, Philippe Bekaert
ICDAR
2003
IEEE
14 years 3 months ago
Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images
A number of techniques have previously been proposed for effective thresholding of document images. In this paper two new thresholding techniques are proposed and compared against...
Graham Leedham, Yan Chen, Kalyan Takru, Joie Hadi ...
DICTA
2003
13 years 11 months ago
False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation
The mean shift (MS) algorithm is sensitive to local peaks. In this paper, we show both empirically and analytically that when using sample data, the reconstructed PDF may have fals...
Hanzi Wang, David Suter
ICPR
2000
IEEE
14 years 2 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...