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» Adaptive Feature Selection in Image Segmentation
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ICPR
2006
IEEE
14 years 8 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
VMV
2001
248views Visualization» more  VMV 2001»
13 years 8 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
CVPR
2003
IEEE
14 years 9 months ago
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...
Mikaël Rousson, Rachid Deriche, Thomas Brox
ECCV
2010
Springer
14 years 21 days ago
Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues
Abstract. Image segmentation techniques typically require proper weighting of competing data fidelity and regularization terms. Conventionally, the associated parameters are set t...
JDCTA
2010
131views more  JDCTA 2010»
13 years 2 months ago
Segmentation for Eyed Typhoon Cloud Image by Curvature and Fractal Feature
An efficient method to segment eyed typhoon from a satellite cloud image is proposed. First, original satellite cloud image is enhanced by gray transform. Second, in order to redu...
Changjiang Zhang, Xiang Zhang, Bo Yang, Ying Li