Brief review of invariant texture analysis methods

This paper considers invariant texture analysis. Texture analysis approaches whose performances are not affected by translation, rotation, affine, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classified into three categories: statistical methods, model based methods, and structural methods. The importance of invariant texture analysis is presented first. Each approach is reviewed according to its classification, and its merits and drawbacks are outlined. The focus of possible future work is also suggested.

[1]  Hamzah Arof,et al.  One-dimensional Fourier transform coefficients for rotation invariant texture classification , 1996, Other Conferences.

[2]  J Duvernoy,et al.  Circular-Fourier-radial-Mellin transform descriptors for pattern recognition. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[3]  Shunichiro Oe,et al.  Evolutionary segmentation of texture image using genetic algorithms towards automatic decision of optimum number of segmentation areas , 1999, Pattern Recognit..

[4]  Tieniu Tan,et al.  Extraction of noise robust rotation invariant texture features via multichannel filtering , 1997, Proceedings of International Conference on Image Processing.

[5]  Anil K. Jain,et al.  Is there any texture in the image? , 1996, Pattern Recognit..

[6]  R. Porter,et al.  Gabor filters for rotation invariant texture classification , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[7]  Tieniu Tan,et al.  Rotation Invariant Texture Features from Gabor Filters , 1998, ACCV.

[8]  Jezekiel Ben-Arie,et al.  Pictorial Recognition of Objects Employing Affine Invariance in the Frequency Domain , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Shieh-Chung Wei,et al.  Rotation and GrayScale Transform-Invariant Texture Classification Using Spiral Resampling , Subband Decomposition , and Hidden Markov Model , 2004 .

[10]  A. R. Rao,et al.  A Taxonomy for Texture Description and Identification , 1990, Springer Series in Perception Engineering.

[11]  Tieniu Tan,et al.  Texture edge detection by modelling visual cortical channels , 1995, Pattern Recognit..

[12]  J. M. Hans du Buf,et al.  A review of recent texture segmentation and feature extraction techniques , 1993 .

[13]  Du-Ming Tsai,et al.  Automated surface inspection for directional textures , 1999, Image Vis. Comput..

[14]  Larry S. Davis,et al.  Polarograms: A new tool for image texture analysis , 1979, Pattern Recognit..

[15]  M Fang,et al.  Class of transforms invariant under shift, rotation, and scaling. , 1990, Applied optics.

[16]  Dmitry Chetverikov,et al.  Pattern regularity as a visual key , 2000, Image Vis. Comput..

[17]  Tieniu Tan,et al.  Content-based rotation-invariant image annotation , 1996 .

[18]  Stanley M. Dunn,et al.  Texture discrimination by projective invariants , 1987, Pattern Recognit. Lett..

[19]  Roland T. Chin,et al.  On Image Analysis by the Methods of Moments , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  P E Danielsson.  Rotation-invariant digital pattern recognition using circular harmonic expansion: a comment. , 1989, Applied optics.

[21]  Nagaraj Nandhakumar,et al.  Thermophysical Algebraic Invariants from Infrared Imagery for Object Recognition , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  A. Kundu,et al.  Rotation and gray-scale transform invariant texture recognition using hidden Markov model , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

[24]  Cedric Nishan Canagarajah,et al.  Robust rotation invariant texture classification , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[25]  Rama Chellappa,et al.  Model-based texture Segmentation and Classification , 1993, Handbook of Pattern Recognition and Computer Vision.

[26]  Azriel Rosenfeld,et al.  A Comparative Study of Texture Measures for Terrain Classification , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[27]  Rangasami L. Kashyap,et al.  A Model-Based Method for Rotation Invariant Texture Classification , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Tieniu Tan,et al.  Rotation Invariant Texture Features and Their Use in Automatic Script Identification , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Richard W. Conners,et al.  A Theoretical Comparison of Texture Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  Soo-Chang Pei,et al.  Two-dimensional invariant color pattern recognition using a complex log mapping transform , 1993 .

[31]  Glenn Healey,et al.  Using Zernike moments for the illumination and geometry invariant classification of multispectral texture , 1998, IEEE Trans. Image Process..

[32]  Yue Wu,et al.  An efficient method for rotation and scaling invariant texture classification , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[33]  Sung Yong Shin,et al.  Fast determination of textural periodicity using distance matching function , 1999, Pattern Recognit. Lett..

[34]  Ramesh C. Jain,et al.  Computerized Flow Field Analysis: Oriented Texture Fields , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

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

[36]  R. K. Goyal,et al.  Scale and rotation invariant texture analysis based on structural property , 1995, Proceedings of IECON '95 - 21st Annual Conference on IEEE Industrial Electronics.

[37]  S. R. FOUNTAIN,et al.  Efficient rotation invariant texture features for content-based image retrieval , 1998, Pattern Recognition.

[38]  Fumiaki Tomita,et al.  Computer analysis of visual textures , 1990 .

[39]  B Julesz,et al.  On the Limits of Fourier Decompositions in Visual Texture Perception , 1979, Perception.

[40]  Robert M. Hawlick.  Statistical and Structural Approaches to Texture , 1979 .

[41]  Joseph M. Francos,et al.  A unified texture model based on a 2-D Wold-like decomposition , 1993, IEEE Trans. Signal Process..

[42]  Dennis F. Dunn,et al.  Optimal Gabor filters for texture segmentation , 1995, IEEE Trans. Image Process..

[43]  H. Arsenault,et al.  Experiments on pattern recognition using invariant Fourier-Mellin descriptors. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[44]  Josef Bigün,et al.  N-folded Symmetries by Complex Moments in Gabor Space and their Application to Unsupervised Texture Segmentation , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[45]  D Mendlovic,et al.  Improved rotation or scale invariant matched filter. , 1989, Applied optics.

[46]  L. C. Ludeman,et al.  Shift and rotation invariant texture recognition with neural nets , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[47]  Harry Wechsler,et al.  2-D Invariant Object Recognition Using Distributed Associative Memory , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[48]  J. M. Francos,et al.  Maximum likelihood parameter estimation of textures using a wold-decomposition based model , 1995, IEEE Transactions on Image Processing.

[49]  W. Lam,et al.  Rotated texture classification by improved iterative morphological decomposition , 1997 .

[50]  Anil K. Jain,et al.  Learning Texture Discrimination Masks , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[51]  Fang Liu,et al.  Periodicity, directionality, and randomness: Wold features for perceptual pattern recognition , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

[52]  Andrew Zisserman,et al.  Geometric invariance in computer vision , 1992 .

[53]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .

[54]  M. Hinich.  Testing for Gaussianity and Linearity of a Stationary Time Series. , 1982 .

[55]  A. Kundu,et al.  Rotation and Gray Scale Transform Invariant Texture Identification using Wavelet Decomposition and Hidden Markov Model , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[56]  B. Ripley,et al.  Pattern Recognition , 1968, Nature.

[57]  Anil K. Jain,et al.  Texture classification and segmentation using multiresolution simultaneous autoregressive models , 1992, Pattern Recognit..

[58]  C. H. Chen,et al.  Handbook of Pattern Recognition and Computer Vision , 1993 .

[59]  Mohan M. Trivedi,et al.  Circular-Mellin features for texture segmentation , 1995, IEEE Transactions on Image Processing.

[60]  Glenn Healey,et al.  Modeling and identifying 3-D color textures , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[61]  F. S. Cohen,et al.  Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[62]  Jia-Lin Chen,et al.  Unsupervised texture segmentation using multichannel decomposition and hidden Markov models , 1995, IEEE Trans. Image Process..

[63]  Manuel González,et al.  Affine Invariant Texture Segmentation and Shape from Texture by Variational Methods , 1998, Journal of Mathematical Imaging and Vision.

[64]  Alan C. Bovik,et al.  Analysis of multichannel narrow-band filters for image texture segmentation , 1991, IEEE Trans. Signal Process..

[65]  Alfredo Restrepo,et al.  Localized measurement of emergent image frequencies by Gabor wavelets , 1992, IEEE Trans. Inf. Theory.

[66]  H. Arof,et al.  Circular neighbourhood and 1-D DFT features for texture classification and segmentation , 1998 .

[67]  Fang Liu,et al.  Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[68]  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.

[69]  B. S. Manjunath,et al.  Rotation-invariant texture classification using modified Gabor filters , 1995, Proceedings., International Conference on Image Processing.

[70]  Jacek Turski.  Projective Fourier analysis for patterns , 2000, Pattern Recognit..

[71]  J. Duvernoy.  Optical-digital processing of directional terrain textures invariant under translation, rotation, and change of scale. , 1984, Applied optics.

[72]  Luc Van Gool,et al.  Texture analysis Anno 1983 , 1985, Comput. Vis. Graph. Image Process..

[73]  Krishnamoorthy Sivakumar,et al.  Morphologically Constrained GRFs: Applications to Texture Synthesis and Analysis , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[74]  Arthur C. Sanderson,et al.  Texture Classification Using Multi-resolution Rotation--Invariant Operators , 1985, Other Conferences.

[75]  C.-C. Jay Kuo,et al.  Texture analysis and classification with tree-structured wavelet transform , 1993, IEEE Trans. Image Process..

[76]  Alireza Khotanzad,et al.  Invariant Image Recognition by Zernike Moments , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[77]  Jan Flusser,et al.  Degraded Image Analysis: An Invariant Approach , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[78]  H H Arsenault,et al.  Properties of the circular harmonic expansion for rotation-invariant pattern recognition. , 1986, Applied optics.

[79]  D. Chetverikov.  EXPERIMENTS IN THE ROTATION-INVARIANT TEXTURE DISCRIMINATION USING ANISOTROPY FEATURES. , 1982 .

[80]  Matti Pietikäinen,et al.  Rotation-invariant texture classification using feature distributions , 2000, Pattern Recognit..

[81]  Tieniu Tan,et al.  Rotation Invariant Retrieval and Annotation of Image Databases , 1997, BMVC.

[82]  Dinggang Shen,et al.  Generalized Affine Invariant Image Normalization , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[83]  Anil K. Jain,et al.  Unsupervised texture segmentation using Gabor filters , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

[84]  Robert Azencott,et al.  Texture Classification Using Windowed Fourier Filters , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[85]  J. Daugman.  Two-dimensional spectral analysis of cortical receptive field profiles , 1980, Vision Research.

[86]  Tieniu Tan,et al.  A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images , 1998, BMVC.

[87]  J Shamir,et al.  Circular harmonic phase filters for efficient rotationinvariant pattern recognition. , 1988, Applied optics.

[88]  Anil K. Jain,et al.  Texture Analysis , 2018, Handbook of Image Processing and Computer Vision.

[89]  Fritz Albregtsen,et al.  New texture features based on the complexity curve , 1999, Pattern Recognit..

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

[91]  G. EICHMANN,et al.  Topologically invariant texture descriptors , 1988, Comput. Vis. Graph. Image Process..

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

[93]  B Julesz,et al.  Experiments in the visual perception of texture. , 1975, Scientific American.

[94]  Chien-Chang Chen,et al.  Filtering methods for texture discrimination , 1999, Pattern Recognit. Lett..

[95]  Pietro Perona,et al.  Rotation invariant texture recognition using a steerable pyramid , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

[96]  Wen-Rong Wu,et al.  Rotation and gray-scale transform-invariant texture classification using spiral resampling, subband decomposition, and hidden Markov model , 1996, IEEE Trans. Image Process..

[97]  Georgios B. Giannakis,et al.  Object and Texture Classification Using Higher Order Statistics , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[98]  Mandyam D. Srinath,et al.  Orthogonal Moment Features for Use With Parametric and Non-Parametric Classifiers , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[99]  Wen-Rong Wu,et al.  Correction To "rotation And Gray-scale Transform-invariant Texture Classification Using Spiral Resampling, Subband Decomposition, And Hidden Markov Model" , 1996, IEEE Trans. Image Process..

[100]  Herbert Süße,et al.  The Method of Normalization to Determine Invariants , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[101]  D. Casasent,et al.  Position, rotation, and scale invariant optical correlation. , 1976, Applied optics.

[102]  In-So Kweon,et al.  2-D object recognition using invariant contour descriptor and projective refinement , 1998, Pattern Recognit..

[103]  Trygve Randen,et al.  Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[104]  Atam P. Dhawan,et al.  M-band wavelet discrimination of natural textures , 1999, Pattern Recognit..

[105]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[106]  T. Randen,et al.  Multichannel filtering for image texture segmentation , 1994 .

[107]  Hyun-Ki Hong,et al.  3-D analysis of projective textures using structural approaches , 1999, Pattern Recognit..

[108]  R. Porter,et al.  Robust rotation-invariant texture classification: wavelet, Gabor filter and GMRF based schemes , 1997 .