60 search results - page 4 / 12 » Using covariance matrices for unsupervised texture segmentat... |
CAIP
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
DAGM
2009
Springer
14 years 10 days ago
2009
Springer
Abstract. Well known estimation techniques in computational geometry usually deal only with single geometric entities as unknown parameters and do not account for constrained obser...
ICAPR
2005
Springer
13 years 11 months ago
2005
Springer
We present a new approach to detecting defects in random textures which requires only very few defect free samples for unsupervised training. Each product image is divided into ove...
TIP
2008
13 years 5 months ago
2008
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...