Degradation adaptive texture classification

2014 IEEE International Conference on Image Processing, ICIP 2014

Volumn , Issue , 2014, Pages 2759-2763

  Gadermayr, Michael ^a   Uhl, Andreas ^a  

^a UNIVERSITY OF SALZBURG   (Austria)

Author keywords

classification; endoscopy; texture

Indexed keywords

CLASSIFICATION (OF INFORMATION); ENDOSCOPY; FEATURE EXTRACTION; IMAGE PROCESSING; TEXTURES;

ADAPTIVE TEXTURES; CLASSIFICATION ACCURACY; CLASSIFICATION PROCESS; DEGRADED IMAGES; FEATURE EXTRACTION METHODS; IMAGE DEGRADATION; REAL-WORLD IMAGE; TEXTURED IMAGES;

IMAGE CLASSIFICATION;

EID: 84908662648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2014.7025558     Document Type: Conference Paper

References (15)

1. Li Liu, P. Fieguth, Gangyao Kuang, and Hongbin Zha, "Sorted random projections for robust texture classification," in Proceedings of the IEEE International Conference on Computer Vision (ICCV'11), Nov. 2011, pp. 391-398.
2. L. Sifre and S. Mallat, "Rotation, scaling and deformation invariant scattering for texture discrimination," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'13), June 2013, pp. 1233-1240.
3. A. Vécsei, G. Amann, S. Hegenbart, M. Liedlgruber, and A. Uhl, "Automated marsh-like classification of celiac disease in children using an optimized local texture operator," Computers in Biology and Medicine, vol. 41, no. 6, pp. 313-325, June 2011.
4. M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, and F. Wrba, "Pit pattern classification using multichannel features and multiclassification," in Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, pp. 335-350. 2009.
5. Daniel J. C. Barbosa, Jaime Ramos, and Carlos S. Lima, "Detection of small bowel tumors in capsule endoscopy frames using texture analysis based on the discrete wavelet transform," in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'08), 2008, pp. 3012-3015.
6. A. Sousa, M. Dinis-Ribeiro, M. Areia, and M. Coimbra, "Identifying cancer regions in vital-stained magnification endoscopy images using adapted color histograms," in Proceedings of the 16th Internatinal Conference on Image Processing (ICIP'09), 2009, pp. 681-684.
7. Michael Gadermayr, Sebastian Hegenbart, and Andreas Uhl, "Scale-adaptive texture classification," in Proceedings of 22nd International Conference on Pattern Recognition (ICPR'14), Aug. 2014, accepted.
8. Pina Marziliano, Frederic Dufaux, Stefan Winkler, Touradj Ebrahimi, and Genimedia Sa, "A no-reference perceptual blur metric," in Proceedings of the IEEE International Conference on Image Processing (ICIP'02), 2002, pp. 57-60.
9. Gustaf Kylberg, "The kylberg texture dataset v. 1. 0," External report (Blue series) 35, Centre for Image Analysis, Swedish University of Agricultural Sciences and Uppsala University, Uppsala, Sweden, September 2011.
10. R. P. W. Duin, P. Juszczak, P. Paclk, E. Pekalska, D. de Ridder, D. M. J. Tax, and S. Verzakov, "PRTools4. 1, a matlab toolbox for pattern recognition," 2007, urlhttp://prtools. org.
11. Quinn McNemar, "Note on the sampling error of the difference between correlated proportions of percentages," Psychometrika, vol. 12, no. 2, pp. 153-157, June 1947.
12. T. Ojala, M. Pietikäinen, and D. Harwood, "A comparative study of texture measures with classification based on feature distributions," Pattern Recognition, vol. 29, no. 1, pp. 51-59, Jan. 1996.
13. Y. Xu, H. Ji, and C. Fermüller, "Viewpoint invariant texture description using fractal analysis," International Journal of Computer Vision, vol. 83, no. 1, pp. 85-100, 2009.
14. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (CVPR'05), 2005, vol. 1, pp. 886-893.
15. R. Rautkorpi and J. Iivarinen, "A novel shape feature for image classification and retrieval," in Proceedings of the International Conference on Image Analysis and Recognition (ICIAR'04), 2004, pp. 753-760.