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» Iterative Feature Selection for Color Texture Classification
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ICTAI
1992
IEEE
14 years 20 days ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
PAA
2008
13 years 8 months ago
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation
Abstract Features computed as statistics (e.g. histograms) of local filter responses have been reported as the most powerful descriptors for texture classification and segmentation...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojc...
CVPR
2007
IEEE
14 years 10 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala
ICRA
2002
IEEE
130views Robotics» more  ICRA 2002»
14 years 1 months ago
Combining Laser Range, Color, and Texture Cues for Autonomous Road Following
We describe results on combining depth information from a laser range-finder and color and texture image cues to segment ill-structured dirt, gravel, and asphalt roads as input t...
Christopher Rasmussen
APGV
2005
ACM
129views Visualization» more  APGV 2005»
14 years 2 months ago
A closer look at texture metrics
This paper presents some insights into perceptual metrics for texture pattern categorization. An increasing number of researchers in the field of visualization are trying to explo...
Haleh Hagh-Shenas, Victoria Interrante