Invariant feature extraction for 3D texture analysis using the autocorrelation function

Citation
J. Brochard et al., Invariant feature extraction for 3D texture analysis using the autocorrelation function, PATT REC L, 22(6-7), 2001, pp. 759-768
Citations number
19
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN RECOGNITION LETTERS
ISSN journal
01678655 → ACNP
Volume
22
Issue
6-7
Year of publication
2001
Pages
759 - 768
Database
ISI
SICI code
0167-8655(200105)22:6-7<759:IFEF3T>2.0.ZU;2-0
Abstract
A new method for invariant feature extraction on textured images undergoing affine transformations is presented. This is performed by transformation o f the autocorrelation function (ACF) followed by determination of an invari ant criterion which is the sum of the coefficients of the discrete correlat ion matrix. Experimental results support the effectiveness of the proposed approach. (C) 2001 Elsevier Science B.V. All rights reserved.