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TIP
2008
125views more  TIP 2008»
15 years 6 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
ICPR
2008
IEEE
16 years 1 months ago
A new algorithm for static camera foreground segmentation via active coutours and GMM
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
Chengkai Wan, Baozong Yuan, Zhenjiang Miao
IJCNN
2006
IEEE
16 years 23 days ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
ICPR
2010
IEEE
15 years 10 months ago
An LDA-Based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels
In a pattern classification setup, image segmentation is achieved by assigning each pixel to one of two classes: object or background. The special case of vessel segmentation is c...
Alexandru Paul Condurache, Alfred Mertins
VMV
2003
142views Visualization» more  VMV 2003»
15 years 8 months ago
Evaluation and Improvement of Region-Based Motion Segmentation
Several approaches of motion segmentation were published in the last years, but an evaluation of these different approaches is missing up to now. Here we evaluate different method...
Mark Ross