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

Abstract 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.

[1]  R. Wong,et al.  Scene matching with invariant moments , 1978 .

[2]  Chaur-Chin Chen,et al.  Improved moment invariants for shape discrimination , 1993, Optics & Photonics.

[3]  Ernest L. Hall,et al.  Three-Dimensional Moment Invariants , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Zhengwei Yang,et al.  Image registration and object recognition using affine invariants and convex hulls , 1999, IEEE Trans. Image Process..

[5]  M. M. Leung,et al.  Scale and rotation invariant texture classification , 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.

[6]  Vidya B. Manian,et al.  Scaled and rotated texture classification using a class of basis functions , 1998, Pattern Recognit..

[7]  Andrzej Sluzek,et al.  Using moment invariants to recognize and locate partially occluded 2D objects , 1988, Pattern Recognit. Lett..

[8]  Glenn Healey,et al.  Use of invariants for recognition of three-dimensional color textures , 1994 .

[9]  Jacques Brochard,et al.  Modelling of rigid objects by bidimensional moments. Applications to the estimation of 3D rotations , 1996, Pattern Recognit..

[10]  Phil Brodatz,et al.  Textures: A Photographic Album for Artists and Designers , 1966 .

[11]  Olivier Alata,et al.  Classification of rotated and scaled textures using HMHV spectrum estimation and the Fourier-Mellin transform , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[12]  Tieniu Tan,et al.  Geometric transform invariant texture analysis , 1995, Defense, Security, and Sensing.

[13]  Lisa M. Brown,et al.  Surface Orientation from Projective Foreshortening of Isotropic Texture Autocorrelation , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Alan C. Bovik,et al.  Planar surface orientation from texture spatial frequencies , 1995, Pattern Recognit..

[15]  Yajun Li,et al.  Reforming the theory of invariant moments for pattern recognition , 1992, Pattern Recognit..

[16]  Faouzi Ghorbel,et al.  A complete invariant description for gray-level images by the harmonic analysis approach , 1994, Pattern Recognit. Lett..

[17]  Chaur-Chin Chen.  Improved moment invariants for shape discrimination , 1993, Pattern Recognit..

[18]  Jan Flusser,et al.  Pattern recognition by affine moment invariants , 1993, Pattern Recognit..

[19]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[20]  Christophe Rosenberger,et al.  Recognition of rotated and scaled textures using 2-D AR modeling and the Fourier-Mellin transform , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).