Rotation and scale invariant texture analysis with tunable Gabor filter banks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5414 LNCS, Issue , 2009, Pages 83-93

  Chu, Xinqi ^a   Chan, Kap Luk ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

FILMS; ROTATION; TEXTURES;

BAND PASS; BRODATZ TEXTURES; FREQUENCY SPECTRUMS; GABOR FILTER BANKS; IMAGE TEXTURES; RECOGNITION PERFORMANCE; SCALE INVARIANT TEXTURE ANALYSIS; SEARCH STRATEGIES; SPECTRAL FEATURES; SPECTRAL SHIFTS; TEXTURE RECOGNITION;

FILTER BANKS;

EID: 60149110787     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-92957-4_8     Document Type: Conference Paper

References (24)

1. Brodatz, P.: Textures: A Photographic Album For Artists and Designers. Dover (1966)
2. Larsen, A., Bundesen, C.: Visual tranformation of size. Journal of Experimental Psychology: Human Perception and Performance 1, 214-220
3. Shepard, R.N., Cooper, L.A.: Mental Images & Their Transformation. MIT Press, Cambridge (1982)
4. Bundesen, L.A.C., Farrell, J.E.: Mental transformations of size and orientation. In: Attention and Performance IX, pp. 279-294. Lawrence Erlbaum, Hillsdale
5. Fountain, S.R., Tan, T.N.: Extraction of noise robust rotation invariant texture features via multichannel filtering. In: Proc. International Conference on Image Processing, October 26-29, vol. 3, pp. 197-200 (1997)
6. Hayley, G.M., Manjunath, B.M.: Rotation invariant texture classification using modified gabor filters. In: Proc. of IEEE ICIP 1995, pp. 262-265 (1994)
7. Ma Ju Han, K.-K.: Rotation-invariant and scale-invariant gabor features for texture image retrieval. Image and Vision Computing 25(9), 1474-1481 (2007)
8. Kashyap, R., Khotanzad, A.: A model based method for rotation invariant texture classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 8(4), 786-804 (1986)
9. Leung, M.M., Peterson, A.M.: Scale and rotation invariant texture classification. In: Conference Record of The Twenty-Sixth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 461-465 (1992)
10. Liu, F.: Modeling Spatial and Temporal Textures. PhD thesis, Massachusetts Institute of Technology (September 1997)
11. Madiraju, S.V.R., Liu, C.-C.: Rotation invariant texture classification using covariance. In: Proc. ICIP 1994. IEEE International Conference Image Processing, vol. 2, pp. 655-659 (1994)
12. Mahersia, H., Hamrouni, K.: New rotaion invariant features for texture classification. In: Proc. International Conference on Computer and Communication Engineering ICCCE 2008, pp. 687-690 (2008)
13. Manjunath, B.S., Ma, W.Y.: Texture features for browsing and retrieval of image data. 18(8), 837-842 (1996)
14. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. 24(7), 971-987 (2002)
15. Shepard, R.: The role of transformation in spatial cognition. In: Spatial Cognition, Brain Bases and Development. Lawrence Erlbaum Associates, Mahwah (1988)
16. Greenspan, H., et al.: Rotation invariant texture recognition using a steerable pyramid. In: Proc. of ICPR 1994, pp. 162-167 (1994)
17. Zhang, L., Ma, J., Xu, X., Yuan, B.: Rotation invariant image classification based on mpeg-7 homogeneous texture descriptor. In: Proc. Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing SNPD 2007, vol. 3, pp. 798-803 (2007)
18. Jain, A., Mao, J.: Texture classification and segmentation using multiresolution simultaneous autoregressive models. Pattern Recognition 25(2), 173-188 (1992)
19. Pun, C.-M., Lee, M.-C.: Log-polar wavelet energy signatures for rotation and scale invariant texture classification 25(5), 590-603 (2003)
20. Wu, Y., Yoshida, Y.: An efficient method for rotation and scaling invariant texture classification. In: Proc. International Conference on Acoustics, Speech, and Signal Processing ICASSP 1995, May 9-12, 1995, vol. 4, pp. 2519-2522 (1995)
21. Xu, Z., Pietikainen, M., Ojala, T.: Rotation-invariant texture classification using feature distributions. Pattern Recognition 33(2000), 43-52 (2000)
22. Ivry, R., Beck, J., Sutter, A.: Spatial frequency channels and perceptual grouping in texture segmentation. Computer Vision, Graphics, Image Processing 37, 299-325 (1987)
23. Jones, J.P., Palmer, L.A.: An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. The Journal of Neuroscience 58(6) (1987)
24. Francos, J.M., Meiri, A.Z., Porat, B.: A Wold-Like Decomposition of Two-Dimensional Discrete Homogenous Random Fields. The Annals of Applied Probability 5(1) (1995)