Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images

Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images

Learning how to extract texture features from noncontrolled environments characterized by distorted images is a still-open task. By using a new rotation-invariant and scale-invariant image descriptor based on steerable pyramid decomposition, and a novel multiclass recognition method based on optimum...

Full description

Bibliographic Details
Main Authors: Alexandre X. Falcão, Ricardo da Silva Torres, Neucimar J. Leite, João Paulo Papa, Javier A. Montoya-Zegarra
Format: Article
Language:English
Published: SpringerOpen 2008-05-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2008/691924

Internet

http://dx.doi.org/10.1155/2008/691924

Similar Items