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

被引：14
|
作者：
Brochard, J [1 ]
Khoudeir, M [1 ]
Augereau, B [1 ]
机构：
[1] CNRS, UMR 6615, SIC, IRCOM, F-86962 Futuroscope, France
来源：
PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 6-7期
关键词：
3D-texture analysis; autocorrelation; affine transformation; invariant features;
D O I：
10.1016/S0167-8655(01)00015-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method for invariant feature extraction on textured images undergoing affine transformations is presented. This is performed by transformation of the autocorrelation function (ACF) followed by determination of an invariant criterion which is the sum of the coefficients of the discrete correlation matrix. Experimental results support the effectiveness of the proposed approach. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：759 / 768
页数：10
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