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» Acoustic Range Image Segmentation by Effective Mean Shift
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ICIP
2006
IEEE
14 years 5 months ago
Acoustic Range Image Segmentation by Effective Mean Shift
Image perception in underwater environment is a difficult task for a human operator, and data segmentation becomes a crucial step toward an higher level interpretation and recogni...
Umberto Castellani, Marco Cristani, Vittorio Murin...
ICIP
2007
IEEE
13 years 3 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang
CVPR
2006
IEEE
14 years 5 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
ICCV
1999
IEEE
14 years 5 months ago
Mean Shift Analysis and Applications
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving l...
Dorin Comaniciu, Peter Meer
MM
2003
ACM
148views Multimedia» more  MM 2003»
13 years 8 months ago
Nonparametric color characterization using mean shift
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for v...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu