60 search results - page 7 / 12 » Using covariance matrices for unsupervised texture segmentat... |
WCE
2007
13 years 9 months ago
2007
— Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper, we address issues in segmentation of remotely sensed LIDAR (LIght Detection And Ranging) data. The LIDAR data, which were captured by airborne laser scanner, contai...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Autonomous systems which learn and utilize a limited
visual vocabulary have wide spread applications.
Enabling such systems to segment a set of cluttered scenes
into objects is ...
PR
2002
13 years 7 months ago
2002
Search by Object Model -- finding an object inside a target image -- is a desirable and yet difficult mechanism for querying multimedia data. An added difficulty is that objects c...
IBPRIA
2009
Springer
14 years 10 days ago
2009
Springer
A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that...