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» Histogram Based Segmentation Using Wasserstein Distances
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TIP
2008
125views more  TIP 2008»
13 years 7 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
3DPVT
2004
IEEE
127views Visualization» more  3DPVT 2004»
13 years 11 months ago
Automatic Extraction of Planar Projections from Panoramic Range Images
This paper presents a segmentation technique to decompose automatically a panoramic range image into a set of planar projections. It consists of three stages. Firstly, two orthogo...
Angel Domingo Sappa
CSSE
2008
IEEE
14 years 1 months ago
Image Segmentation Based on 2D Otsu Method with Histogram Analysis
—Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used be...
Jun Zhang, Jinglu Hu
ICPR
2008
IEEE
14 years 8 months ago
Circular Earth Mover's Distance for the comparison of local features
Many computer vision algorithms make use of local features, and rely on a systematic comparison of these features. The chosen dissimilarity measure is of crucial importance for th...
Julie Delon, Julien Rabin, Yann Gousseau
ICS
2003
Tsinghua U.
14 years 18 days ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua