Texture description in local scale using texton histograms with quadrature filter universal dictionaries

Author(s): J. Rouco ; A. Mosquera ; M.G. Penedo ; M. Ortega ; M. Penas
DOI: 10.1049/iet-cvi.2010.0038

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Author(s): J. Rouco ¹ ; A. Mosquera ² ; M.G. Penedo ¹ ; M. Ortega ¹ ; M. Penas ¹
- Affiliations: 1: VARPA, Department of Computer Science, University of A Coruña, A Coruña, Spain
  2: GVA, Department of Electronics and Computer Science, University of Santiago de Compostela, Santiago de Compostela, Spain
Source: Volume 5, Issue 4, July 2011, p. 211 – 221
DOI: 10.1049/iet-cvi.2010.0038 , Print ISSN 1751-9632, Online ISSN 1751-9640

An inherent property to the texture patterns is that they are only meaningful in an appropriate range of scales. Taking this into account, the description of the texture patterns should be limited to its meaningful scales. This assumption motivates the research on local-scale texture description. In this study, a method for the extraction and description of texture features using local scale is presented. The method is based on texton histograms using universal prototype dictionaries of extremal quadrature filter outputs. Comparison of results with state-of-the-art texture description methods demonstrate the higher discriminative power of the proposed method in local-scale texture classification.

References

1. 1)
  - T. Ahonen , M. Pietikinen . Image description using joint distribution of filter bank responses. Pattern Recognit. Lett. , 368 - 376
2. 2)
  - F. Bianconi , A. Fernández . Evaluation of the effects of Gabor filter parameters on texture classification. Pattern Recognit. , 12 , 3325 - 3335
3. 3)
  - Rouco, J., Penedo, M.G., Ortega, M., Mosquera, A.: `Texture description in local scale using texton histograms with universal dictionary', Digital Image Computing: Techniques and Applications 2009, DICTA'09., December 2009, p. 47–52.
4. 4)
  - T. Randen , J.H. Husoy . Filtering for texture classification: a comparative study. Trans. Pattern Anal. Mach. Intell. , 4 , 291 - 310
5. 5)
  - M. Varma , A. Zisserman . A statistical approach to texture classification from single images. Int. J. Comput. Vis. Spec. Issue Texture Anal. Synth. , 61 - 81
6. 6)
  - A.K. Jain , F. Farrokhnia . Unsupervised texture segmentation using Gabor filters. Pattern Recognit. , 12 , 167 - 186
7. 7)
  - X. Liu , D.L. Wang . Texture classification using spectral histograms. IEEE Trans. Image Process. , 6 , 661 - 670
8. 8)
  - S.-C. Zhu , C.-E. Guo , Y. Wang , Z. Xu . What are textons?. Int. J. Comput. Vis. , 121 - 143
9. 9)
  - J. Malik , P. Perona . Preattentive texture discrimination with early vision mechanisms. J. Opt. Soc. Am. A, Opt. Image Sci. , 5 , 923 - 932
10. 10)
  - Ahonen, T., Pietikäinen, M.: `Soft histograms for local binary patterns', Proc. Finnish Signal Processing Symp. (FINSIG 2007), 2007, Oulu, Finland.
11. 11)
  - Ilonen, J., Kamarainen, J.-K., Kalviainen, H.: `Fast extraction of multi-resolution Gabor features', Proc. 14th Int. Conf. on Image Analysis and Processing, ICIAP'07, IEEE Computer Society, 2007, Washington, DC, USA, p. 481–486.
12. 12)
  - P. Brodatz . (1966) Textures: a photographic album for artists and designers.
13. 13)
  - T. Ojala , M. Pietikǎinen , T. Mǎenpǎǎ . Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. , 7 , 971 - 987
14. 14)
  - J. Malik , S. Belongie , T. Leung , J. Shi . Contour and texture analysis for image segmentation. Int. J. Comput. Vis. , 3 , 7 - 27
15. 15)
  - B.S. Manjunath , W.Y. Ma . Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach. Intell. , 8 , 837 - 842
16. 16)
  - M. Tuceryan , A.K. Jain . (1998) Texture analysis, The handbook of pattern recognition and computer vision.
17. 17)
  - Chen, L., Lu, G., Zhang, D.: `Effects of different Gabor filter parameters on image retrieval by texture', Proc. Tenth Int. Multimedia Modelling Conf. (MMM'04), 2004.
18. 18)
  - T.K. Leung , J. Malik . Representing and recognizing the visual appearance of materials using three-dimensional textons. Int. J. Comput. Vis. , 1 , 29 - 44
19. 19)
  - B. Zhang , S. Shan , X. Chen , W. Gao . Histogram of Gabor phase patterns (hgpp): a novel object representation approach for face recognition. IEEE Trans. Image Process. , 1 , 57 - 68

Texture description in local scale using texton histograms with quadrature filter universal dictionaries

Texture description in local scale using texton histograms with quadrature filter universal dictionaries

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