Sciweavers

9 search results - page 1 / 2
» Multiscale Segmentation Based On Mode-Shift Clustering
Sort
View
IMCSIT
2010
13 years 2 months ago
Multiscale Segmentation Based On Mode-Shift Clustering
We present a novel segmentation technique that effectively segments natural images. The method is designed for the purpose of image retrieval and follows the principle of clusterin...
Wojciech Tarnawski, Lukasz Miroslaw, Roman Pawliko...
DAGM
1998
Springer
13 years 9 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
IJAR
2006
197views more  IJAR 2006»
13 years 4 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
CVPR
1999
IEEE
14 years 6 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ECCV
1998
Springer
14 years 6 months ago
Perceptual Smoothing and Segmentation of Colour Textures
An approach for perceptual segmentation of colour image textures is described. A multiscale representation of the texture image, generated by a multiband smoothing algorithm based ...
Maria Petrou, Majid Mirmehdi, M. Coors