7.10.10 Autocorrelation Texture Models

Chapter Contents (Back)
Autocorrelation.

Waksman, P.[Peter], Greene, E.[Ernest],
Optical image encoding and comparing using scan autocorrelation,
US_Patent4,745,633, May 17, 1988
WWW Link. BibRef 8805

Lin, H.C., Wang, L.L., Yang, S.N.,
Extracting Periodicity of a Regular Texture-Based on Autocorrelation Functions,
PRL(18), No. 5, May 1997, pp. 433-443. 9708
BibRef

Brochard, J.[Jacques], Khoudeir, M.[Majdi], Augereau, B.[Bertrand],
Invariant feature extraction for 3D texture analysis using the autocorrelation function,
PRL(22), No. 6-7, May 2001, pp. 759-768.
Elsevier DOI 0105
BibRef

Brochard, J.[Jacques], Khoudeir, M.[Majdi],
Estimation of movement parameters of 3D textured surfaces using the autocorrelation function,
PRL(24), No. 12, August 2003, pp. 2031-2045.
WWW Link. 0304
BibRef
Earlier:
Histogram Characterization of Colored textures Using One-Dimensional Moments and Chromaticity Diagram,
VI02(428).
PDF File. 0208
BibRef

Bringier, B.[Benjamin], Helbert, D.[David], Khoudeir, M.[Majdi],
Photometric reconstruction of a dynamic textured surface from just one color image acquisition,
JOSA-A(25), No. 3, March 2008, pp. 566-574.
WWW Link. 0804
BibRef

Popovici, V.[Vlad], Thiran, J.P.[Jean-Philippe],
Pattern Recognition using higher-order local autocorrelation coefficients,
PRL(25), No. 10, 16 July 2004, pp. 1107-1113.
WWW Link. 0407
BibRef
Earlier:
Higher Order Autocorrelations for Pattern Classification,
ICIP01(III: 724-727).
IEEE DOI 0108
BibRef

Wang, W., Adali, T.,
Eigenanalysis of Autocorrelation Matrices in the Presence of Noncentral and Signal-Dependent Noise,
SPLetters(12), No. 2, February 2005, pp. 85-88.
IEEE Abstract. 0501
BibRef

Kang, Y.[Yousun], Morooka, K.[Ken'ichi], Nagahashi, H.[Hiroshi],
Texture Classification Using Hierarchical Linear Discriminant Space,
IEICE(E88-D), No. 10, October 2005, pp. 2380-2388.
DOI Link 0510
BibRef
Earlier:
Scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features,
ScaleSpace05(363-373).
Springer DOI 0505
BibRef

Campisi, P.[Patrizio], Colonnese, S.[Stefania], Panci, G.[Gianpiero], Scarano, G.[Gaetano],
Reduced Complexity Rotation Invariant Texture Classification Using a Blind Deconvolution Approach,
PAMI(28), No. 1, January 2006, pp. 145-149.
IEEE DOI 0512
Features computed from one-dimensional slices extracted from the two-dimensional autocorrelation function (ACF) of the binary excitation allows representing the texture for rotation-invariant classification. BibRef

Toyoda, T.[Takahiro], Hasegawa, O.[Osamu],
Extension of higher order local autocorrelation features,
PR(40), No. 5, May 2007, pp. 1466-1473.
WWW Link. 0702
Higher order local autocorrelation features; Texture classification; Face recognition; Outex database; AT&T database BibRef

Kawewong, A., Hasegawa, O.[Osamu],
3D Texture Classification by Using Pre-Testing Stage and Reliability Table,
ICIP05(II: 1330-1333).
IEEE DOI 0512
Combine classification for texture. BibRef

Li, P.J.[Pei-Jun], Cheng, T.[Tao], Guo, J.C.[Jian-Cong],
Multivariate Image Texture by Multivariate Variogram for Multispectral Image Classification,
PhEngRS(75), No. 2, February 2009, pp. 147-158.
WWW Link. 0902
A multivariate texture measure by the multivariate variogram for the multispectral imagery which characterizes the multivariate spatial autocorrelation (spatial variability) between all the bands for image classification. BibRef

Susan, S.[Seba], Hanmandlu, M.[Madasu],
Difference theoretic feature set for scale-, illumination- and rotation-invariant texture classification,
IET-IPR(7), No. 8, November 2013, pp. 725-732.
DOI Link 1402
correlation theory BibRef

Salman, M.S.[Mohammad Shukri], Kukrer, O.[Osman], Hocanin, A.[Aykut],
Recursive inverse adaptive algorithm: A second-order version, a fast implementation technique, and further results,
SIViP(9), No. 3, March 2015, pp. 665-673.
Springer DOI 1503
BibRef

Arriaga-Trejo, I.A., Orozco-Lugo, A.G., Flores-Troncoso, J.,
Design of Unimodular Sequences With Good Autocorrelation and Good Complementary Autocorrelation Properties,
SPLetters(24), No. 8, August 2017, pp. 1153-1157.
IEEE DOI 1708
correlation theory, minimisation, nonlinear functions, aperiodic autocorrelation properties, complex sequences, good complementary autocorrelation properties, nonlinear function minimization, second-order characterization, time domain properties, unimodular sequence design, weighted integrated side-lobe level, Channel estimation, Correlation, Indexes, Linear programming, Linear systems, Minimization, Signal processing algorithms, Complementary correlation, correlation unimodular sequences BibRef


Chen, Y.X., Qin, K., Liu, Y., Gan, S.Z., Zhan, Y.,
Feature Modelling of High Resolution Remote Sensing Images Considering Spatial Autocorrelation,
ISPRS12(XXXIX-B3:467-472).
DOI Link 1209
BibRef

Sourice, A., Plantier, G., Saumet, J.,
Autocorrelation fitting for texture orientation estimation,
ICIP03(I: 281-284).
IEEE DOI 0312
BibRef

Peng, J.X.[Jia-Xiong],
The Identification of Autocorrelation Model of Discrete Random Images,
ICPR88(II: 1026-1028).
IEEE DOI 8811
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Statistical Image Models .


Last update:Sep 22, 2017 at 21:00:01