A non-extensive entropy feature and its application to texture classification

Neurocomputing

Volumn 120, Issue , 2013, Pages 214-225

  Susan, Seba ^a   Hanmandlu, Madasu ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Co occurrence matrix; Gaussian information measure; Non extensive entropy; Texture classification

Indexed keywords

CLASSIFICATION ACCURACY; CO-OCCURRENCE-MATRIX; GRAY LEVEL CO-OCCURRENCE PROBABILITIES; INFORMATION MEASURES; NON-ADDITIVE PROPERTIES; NONEXTENSIVE ENTROPY; TEXTURE CHARACTERIZATIONS; TEXTURE CLASSIFICATION;

TEXTURES;

ENTROPY;

ACCURACY; ARTICLE; CONTROLLED STUDY; ENTROPY; IMAGE DISPLAY; IMAGING AND DISPLAY; INTERMETHOD COMPARISON; KERNEL METHOD; MATHEMATICAL COMPUTING; NON EXTENSIVE ENTROPY; PRIORITY JOURNAL; PROBABILITY; TEXTURE CLASSIFICATION;

EID: 84882904913     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.08.059     Document Type: Article

References (31)

1. Haralick R.M, Shanmugan K, Dinstein I Textural features for image classification. IEEE Trans. Syst. Man Cybern. 1973, 3:610-621.
2. Idrissi N, Martinez J, Aboteydine D Selecting a discriminant subset of co-occurrence matrix features for texture based image retrieval. ISVC 2005, 696-703.
3. Cross G.R., Jain A.K. Markov random field texture models. IEEE Trans. Pattern Anal. Mach. Intell. 1983, 5(1):25-39.
4. Bovik A., Clark H., Geisler W.S. Multi-channel texture analysis using localized spatial filters. IEEE Trans. Pattern Anal. Mach. Intell. 1990, 12:55-73.
5. Idrissa M. Acheroy, Texture classification using Gabor filters. Pattern Recogn. Lett. 2002, 23:1095-1102.
6. Unser M. Texture classification & segmentation using wavelet frames. IEEE Trans. Image Process. 1995, 4(11):1549-1560.
7. Kim S.C., Kang T.J. Texture classification and Segmentation using wavelet packet frame and Gaussian mixture model. Pattern Recogn. 2007, 40:1207-1221.
8. Engin Avci, Comparison of wavelet families for texture classification using wavelet packet entropy adaptive network based fuzzy inference sustem, Appl. Soft Comput. 8(2008) 225-231.
9. Laine A., Fan J. Texture classification by wavelet packet signatures. IEEE Trans. Pattern Anal. Mach. Intell. 1993, 15(11):1186-1191.
10. Engin Avci, An expert system based on wavelet neural network adaptive norm entropy for scale invariant texture classification, Expert Syst. Appl. 32 (2007) 919-926.
11. Wu Y.N., Guo C., Zhu S.C., From information scaling of natural images to regimes of statistical models. Quarterly of Applied Mathematics, 66 (2008) 81-122.
12. Strand J., Taxt T. Local frequency features for texture classification. Pattern Recogn. 1994, 27:1397-1406.
13. Buf J., Kardan H., Spann M. Texture feature performance for image segmentation. Pattern Recogn. 1990, 23:291-309.
14. Conners R., Harlow C. A theoretical comparison of texture algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 1980, 2:204-222.
15. Shannon C.E A mathematical theory of communication. Bell Syst. Tech. J. 1948, 27:379-423. July.
16. Alfred Renyi, On measures of entropy and information, Fourth Berkeley Symposium, vol. 1, pp. 547-561,1961.
17. Tsallis C., Abe S., Okamoto Y. Non extensive statistical mechanics and its applications 2001, Springer, Lecture notes in Physics.
18. Albuquerque M., Esquef I.A., Mello Gesualdi, Albuquerque M.P. Image thresholding using Tsallis entropy. Pattern Recogn. Lett. 2004, 25:1059-1065.
19. Pal Nikhil, Pal Sankar Entropy-a new definition and its applications. IEEE Trans. Syst. Man Cybern. September 1991, 21(5).
20. Kullback S Information Theory and Statistics 1959, Wiley, New York.
21. Vapnik V. The Nature of Statistical Learning Theory. N.Y 1995, Springer, ISBN-0385-94559-8.
22. Brodatz P. Textures, a photographic album for artists and designers 1966.
23. Tsallis C. Non additive entropy: the concept and its use. Eur. Phys. J. A 2009, 40:257-266.
24. D., Chetverikov R.M., Haralick Texture anisotropy, symmetry, regularity: recovering structure from interaction maps, in: Proceedings of BMVC, 1995, pp. 57-66, .
25. S.Susan, M.Hanmandlu, V.K.Madasu, B.C.Lovel, Detection of skin lesions by fuzzy entropy based texel identification, in: Proceedings of ICVPR, Austria, 2009.
26. Petrou M, Talebpour A, Kadyrov A Reverse engineering the way humans rank texture. Pattern Anal. Appl. 2007, 10(2):101-114.
27. de Ves E., Benavent X., Ayala G., Domingo J. Selecting the structuring element for morphological texture classification. Pattern Anal. Appl. 2006, 9(1):48-57.
28. M.Varma, A.Zisserman, A Statistical approach to texture classification using single images, Int. J. Comput. Vis., 2005.
29. Hanmandlu M., Das Anirban Content-based image retrieval by information theoretic measure. Defense Sci. J. 2011, 61(5):415-430.
30. Pang Y., Yuan Y., Wang K. Learning optimal spatial filters by discriminant analysis for brain-computer-interface. Neurocomputing 2012, 77(1):20-27.
31. Pang Y., Li X., Yuan Y., Tao D., Pan J. Fast haar transform based Feature Extraction for Face Representation and Recognition. IEEE Trans. Inform. Forensics Secur. (T-IFS) 2009, 4(3):441-450.