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IBPRIA
2003
Springer

Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows

9 years 6 months ago
Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows
A wide variety of texture feature extraction methods have been proposed for texture based image classification and segmentation. These methods are typically evaluated over windows of the same size, the latter being usually chosen for each particular method on an experimental basis. This paper shows that pixel-based texture classification can be significantly improved by evaluating a given texture method over multiple windows of different size and then by integrating the results through a classical Bayesian scheme. The proposed technique has been applied to well-known families of texture methods that are frequently utilized for feature extraction from textured images. Experiments show that the integration of multisized windows yields lower classification errors than when optimal single-sized windows are considered.
Domènec Puig, Miguel Angel García
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where IBPRIA
Authors Domènec Puig, Miguel Angel García
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