Sciweavers

296 search results - page 22 / 60
» Texture classification using invariant ranklet features
Sort
View
ICMCS
2006
IEEE
182views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Using Semantic Features for Scene Classification: how Good do they Need to Be?
Semantic scene classification is a useful, yet challenging problem in image understanding. Most existing systems are based on low-level features, such as color or texture, and suc...
Matthew R. Boutell, Anustup Choudhury, Jiebo Luo, ...
ICPR
2010
IEEE
14 years 6 months ago
Iris Image Retrieval Based on Macro-features
Most iris recognition systems use the global and local texture information of the iris in order to recognize individuals. In this work, we investigate the use of macro-features th...
Manisha Sam Sunder, Arun Ross
PR
2006
111views more  PR 2006»
14 years 9 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
EVOW
2007
Springer
15 years 1 months ago
Multiclass Object Recognition Based on Texture Linear Genetic Programming
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...
CVPR
2008
IEEE
15 years 11 months ago
Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
Georgios Evangelopoulos, Petros Maragos