Gray scale and rotation invariant texture classification with local binary patterns

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

Volumn 1842, Issue , 2000, Pages 404-420

  Ojala, Timo ^a   Pietikäinen, Matti ^a   Mäenpää, Topi ^a  

^a UNIVERSITY OF OULU   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE ENHANCEMENT; ROTATION; TABLE LOOKUP; TEXTURES;

JOINT DISTRIBUTIONS; LOCAL BINARY PATTERNS; MONOTONIC TRANSFORMATION; ROTATION INVARIANCE; ROTATION INVARIANT; SIMPLE ROTATION; SPATIAL CONFIGURATION; TEXTURE CLASSIFICATION;

IMAGE TEXTURE;

EID: 84944199896     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45054-8_27     Document Type: Conference Paper

References (14)

1. Brodatz, P.: Textures: a Photographic Album for Artists and Designers. Dover, New York (1966)
2. Chen, J.-L., Kundu, A.: Rotation and Gray Scale Transform Invariant Texture Identification Using Wavelet Decomposition and Hidden Markov Model. IEEE Trans. Pattern Analysis and Machine Intelligence 16 (1994) 208-214
3. Cohen, F.S., Fan, Z., Patel, M.A.: Classification of Rotated and Scaled Texture Images Using Gaussian Markov Random Field Models. IEEE Trans. Pattern Analysis and Machine Intelligence 13 (1991) 192-202
4. Haley, G.M., Manjunath, B.S.: Rotation-Invariant Texture Classification Using a Complete Space-Frequency Model. IEEE Trans. Image Processing 8 (1999) 255-269
5. Kashyap, R.L., Khotanzad, A.: A Model-Based Method for Rotation Invariant Texture Classification. IEEE Trans. Pattern Analysis and Machine Intelligence 8 (1986) 472-481
6. Lam, W.-K., Li, C.-K.: Rotated Texture Classification by Improved Iterative Morphological Decomposition. IEE Proc. - Vision, Image and Signal Processing 144 (1997) 171-179
7. Madiraju, S.V.R., Liu, C.C.: Rotation Invariant Texture Classification Using Covariance. Proc. Int. Conf. Image Processing 1 (1995) 262-265, Washington, D.C.
8. Mao, J., Jain, A.K.: Texture Classification and Segmentation Using Multiresolution Simultaneous Autoregressive Models. Pattern Recognition 25 (1992) 173-188
9. Ojala, T., Pietikäinen, M., Harwood, D.: A Comparative Study of Texture Measures with Classification Based on Feature Distributions. Pattern Recognition 29 (1996) 51-59
10. Ojala, T., Valkealahti, K., Oja, E., Pietikäinen, M.: Texture Discrimination with Multidimensional Distributions of Signed Gray Level Differences. Pattern Recognition (2000), in press
11. Pietikäinen, M., Ojala, T., Xu Z.: Rotation-Invariant Texture Classification Using Feature Distributions. Pattern Recognition 33 (2000) 43-52
12. Porter, R., Canagarajah, N.: Robust Rotation-Invariant Texture Classification: Wavelet, Gabor Filter and GMRF Based Schemes. IEE Proc. - Vision, Image and Signal Processing 144 (1997) 180-188
13. The USC-SIPI Image Database, Volume 1: Rotated Textures. Signal and Image Processing Institute of the University of Southern California, Los Angeles. http://sipi.usc.edu/services/database/database.cgi?volume=rotate
14. 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 Processing 5 (1996) 1423-1434