Invariant texture retrieval using modified Zernike moments

Image and Vision Computing

Volumn 22, Issue 4, 2004, Pages 331-342

  Sim, Dong Gyu ^a,d   Kim, Hae Kwang ^b   Park, Rae Hong ^c  

^a Hynix Semiconductor Inc   (South Korea)

^b Sejong University   (South Korea)

^c Sogang University   (South Korea)

^d University of Washington   (United States)

Author keywords

Invariant descriptor; MPEG 7; Rotation; Scaling; Texture; Texture retrieval; Translation; Visual descriptor; Zernike moments

Indexed keywords

ALGORITHMS; BROWNIAN MOVEMENT; COMPUTATIONAL COMPLEXITY; IMAGE COMPRESSION; IMAGE RETRIEVAL; MOTION PICTURES; MULTIMEDIA SYSTEMS; TEXTURES;

INVARIANT DESCRIPTORS; MPEG-7; SCALING; TEXTURE RETRIEVAL; TRANSLATION; VISUAL DESCRIPTORS; ZERNIKE MOMENTS;

COMPUTER VISION;

EID: 0442327388     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2003.11.003     Document Type: Article

References (40)

1. du Buf J.M.H., Kardan M., Spann M. Texture feature performance for image segmentation. Pattern Recognit. 23:(3):1990;291-309.
2. Haley G.M., Manjunath B.S. Rotation-invariant texture classification using a complete space-frequency model. IEEE Trans. Image Process. 8:(2):1999;255-269.
3. Kruizinga P., Petkov N. Nonlinear operator for oriented texture. IEEE Trans. Image Process. 8:(10):1999;1395-1407.
4. A. Tabatabai, Texture representation for visual objects, ISO/MPEG, P574, Lancaster, UK, Feb. 1999.
5. Comer M.L., Delp E.J. Segmentation of textured images using a multiresolution Gaussian autoregressive model. IEEE Trans. Image Process. 8:(3):1999;408-420.
6. Manjunath B.S., Ma W.Y. Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach. Intell. 18:(8):1996;837-842.
7. Chang T., Kuo C.-C.J. Texture analysis and classification with tree-structured wavelet transform. IEEE Trans. Image Process. 2:(2):1993;429-441.
8. Tang X. Texture information in run-length matrices. IEEE Trans. Image Process. 7:(11):1998;1602-1609.
9. Porlapalli H., Luo R.C. Fractal-based classification of natural textures. IEEE Trans. Ind. Electron. 45:(1):1998;142-150.
10. Liu S.-C., Chang S. Dimension estimation of discrete-time fractional Brownian motion with applications to image texture classification. IEEE Trans. Image Process. 6:(8):1997;1176-1184.
11. Kaplan L.M. Extended fractal analysis for texture classification and segmentation. IEEE Trans. Image Process. 8:(11):1999;1572-1585.
12. Valkealahtl K., Oja E. Reduced multidimensional co-occurrence histograms in texture classification. IEEE Trans. Pattern Anal. Mach. Intell. 20:(1):1998;90-94.
13. Chellappa R., Chatterjee S. Classification of textures using Gaussian Markov random field models. IEEE Trans. Acoust. Speech Signal Process. 33:(4):1985;959-963.
14. Derin H., Elliott H. Modeling and segmentation of noisy and textured images using Gibbs random fields. IEEE Trans. Pattern Anal. Mach. Intell. 9:(1):1987;39-55.
15. Azencott R., Wang J.-P., Younes L. Texture classification using windowed Fourier filters. IEEE Trans. Pattern Anal. Mach. Intell. 19:(2):1997;148-163.
16. Cohen F.S., Fan Z., Patel M.A. Classification of rotated and scaled textured image using Gaussian Markov random field models. IEEE Trans. Pattern Anal. Mach. Intell. 13:(2):1991;192-202.
17. Randen T., Husøy J.H. Filtering for texture classification: a comparative study. IEEE Trans. Pattern Anal. Mach. Intell. 21:(4):1999;291-310.
18. Esplnal F., Jawerth B.D., Kubota T. Wavelet-based fractal signature analysis for automatic target recognition. Opt. Engng. 37:(1):1998;166-174.
19. Rivaz P., Kingsbury N. Complex wavelet features for fast texture image retrieval. Proc. IEEE Int. Conf. Image Process. '99, Kobe, Japan. 1:1999;109-113.
20. Ziyou X., Huang T. Wavelet-based texture features can be extracted efficiently from compresses-domain for JPEG-2000 coded images. Proc. IEEE Int. Conf. Image Process. '02, NY. 2002;22-25.
21. Do M., Vetterli M. Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models. IEEE Trans. Multimedia. 4:(4):2002;517-527.
22. Ma W.Y., Manjunath B.S. A comparison of wavelet features for texture annotation. Proc. IEEE Int. Conf. Image Process. '95, Washington, DC. 2:1995;256-259.
23. J.-R. Ohm, F. Bunjamin, Results of MPEG-7 core experiment CT5, ISO/IEC, JTC1/SC29/WG11, MPEG99/M5392, Maui, Hawaii, Dec. 1999.
24. Ro Y.M., You K.-W. Texture featuring and indexing using matching pursuit in Radon space. Proc. IEEE Int. Conf. Image Process. '99, Kobe, Japan. 2:1999;580-584.
25. Y.M. Ro, K.-W. You, M.C. Kim, J.W. Kim, Experimental results of a texture descriptor using Radon transform, ISO/IEC, JTC1/SC29/WG11, MPEG99/M5152, Melbourne, Australia, Oct. 1999.
26. B.S. Manjunath, H.D. Shin, Texture core experiment results: similarity retrieval, ISO/IEC, JTC1/SC29/WG11, MPEG99/M5092, Melbourne, Australia, Oct 1999.
27. Wu W.-R., Wei S.-C. Rotation and gray-scale transform-invariant texture classification using spiral resampling subband decomposition, and hidden Markov model. IEEE Trans. Image Process. 5:(10):1996;1423-1434.
28. Kashyap R.L., Khotanzad A. A model-based method for rotation invariant texture classification. IEEE Trans. Pattern Anal. Mach. Intell. 8:(4):1986;472-481.
29. Do M.N., Vetterli M. Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models. IEEE Trans. Multimedia. 4:(4):2002;517-527.
30. Wouver V., Scheunders P., Dyck D.V. Rotation-invariant texture characterization using isotropic wavelet frames. Proc. ICPR, Brisbane, Australia. 1998;814-816.
31. Wang L., Healey G. Using Zernike moments for the illumination and geometry invariant classification of multispectral texture. IEEE Trans. Image Process. 7:(2):1998;196-203.
32. Derrode S., Daoudi M., Chorbel F. Invariant content-based image retrieval using a complete set of Fourier-Mellin descriptors. Multimedia Comp. Syst. 2:1999;877-881.
33. Derrode S., Ghorbel F. Robust and efficient Fourier-Mellin transform applications for gray-level image reconstruction and complete invariant description. Comput. Vision Image Understanding. 83:(1):2001;57-78.
34. Lim J.S. Two-Dimensional Signal and Image Processing. 1990;Prentice-Hall, Englewood Cliffs, NJ.
35. D.G. Sim, H.-K. Kim, Translation, scale, and rotation invariant texture descriptor of Zernike moments and DFT image, ISO/IEC, JTC1/SC29/WG11, MPEG99/M5502, Maui, Hawaii, Dec 1999.
36. Khotanzad A., Hong Y.H. Invariant image recognition by Zernike moments. IEEE Trans. Pattern Anal. Mach. Intell. 12:(5):1990;489-497.
37. The C.-H., Chin R.T. On image analysis by the method of moments. IEEE Trans. Pattern Anal. Mach. Intell. 10:(4):1988;496-513.
38. Götze N., Drüe S., Hartmann G. Invariant object recognition with discriminate features based on local fast-Fourier Mellin transform. Proc. 15th Int. Conf. Pattern Recognit., Barcelona, Spain. 1:2000;948-951.
39. MPEG-7 Video Group, Core experiments on MPEG-7 color and texture descriptors, ISO/IEC JTC 1/SC 29/WG 11, MPEG99/N2929, Melbourne, Australia, Oct 1999.
40. Brodatz P. Textures: A Photographic Album for Artists and Designers. 1966;Dover, New York.