REFERENCES

1. Arnqvist J, Hellgren L, Vincent J. Semiautomatic classification of secondary healing ulcers in multispectral images. Proceedings of 9th International Conference on Pattern Recognition; 1988 Nov 14-17; Rome. NY: IEEE; 1988. pp. 459-61.

2. Herbin M, Bon FX, Venot A, Jeanlouis F, Dubertret ML, Dubertret L, Strauch G. Assessment of healing kinetics through true color image processing. IEEE Trans Med Imaging 1993;12:39-43.

3. Berris WP, Sangwine SJ. Automatic quantitative analysis of healing skin wounds using colour digital image processing. World Wide Wounds, 1997; Available from: http://www.worldwidewounds.com/1997/july/Berris/Berris.html [Last Accessed on 2015 Apr 12].

4. Mekkes JR, Westerhof W. Image processing in the study of wound healing. Clin Dermatol 1995;13:401-7.

5. Jones BF, Plassmann P. An instrument to measure the dimensions of skin wounds. IEEE Trans Biomed Eng 1995;42:464-70.

6. Hansen GL, Sparrow EM, Kokate JY, Leland KJ, Iaizzo PA. Wound status evaluation using color image processing. IEEE Trans Med Imaging 1997;16:78-86.

7. Berris WP, Sangwine SJ. A Colour Histogram Clustering Technique for Tissue Analysisof HealingSkin Wounds. Proceedingsof the 6th International Conference on Image Processing and its Applications, 1997 July 14-17. Vol. 2. Dublin, New York: IET; 1997. pp. 693-7.

8. Hoppe A, Wertheim D, Melhuish J, Morris H, Harding KG, Williams RJ. Computer assisted assessment of wound appearance using digital imaging. In: Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2001 Oct 25-28 Istanbul, Turkey: 2001. pp. 2595-7.

9. Oduncu H, Hoppe A, Clark M, Williams RJ, Harding KG. Analysis of skin wound images using digital color image processing: a preliminary communication. Int J Low Extrem Wounds 2004;3:151-6.

10. Varedas FJ, Mesa H, Morente L. A hybrid learning approach to tissue recognition in wound images. Int J Intell Comput Cybernetics 2009;2:327-47.

11. Wannous H, Trelluillet S, Lucas Y. Robust tissue classification for reproducible wound assessment in telemedicine environments. J Electron Imag 2010;19:023002-1-9.

12. Dorileo EAG, Frade MAC, Rangayyan RM, Azevedo Marques PM. "Segmentation and Analysis of the Tissue Composition of Dermatological Ulcers". Proceedings of the Canadian Conference on Electrical and Computer Engineering; 2013 May 5-8; Regina, SK. NY: IEEE; 2013. pp. 1-4.

13. Pereira SM, Frade MAC, Rangayyan RM, Marqueset PMA. Classification of dermatological ulcers based on tissue composition and color texture features. Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies; 2011 Oct 26-29; Barcelona, Spain. NY: ACM; 2011. Article 68.

14. Nayak R, Kumar P, Galigekere RR. Towards a comprehensive assessment of wound composition by color image processing. Proceedings of the 4th International Conference on Image Processing; 2009 Nov 7-10; Cairo, Egypt. NY: IEEE; 2009. pp. 4185-8.

15. Veredas F, Mesa H, Morente L. Binary classification on wound images with neural networks and bayesian classifiers. IEEE Trans Med Imaging 2010;29:410-27.

16. Mukherjee R, Manohar DD, Das DK, Achar A, Mitra A, Chakraborty C. Automated tissue classification framework for reproducible chronic wound assessment. Biomed Res Int 2014;2014:851582.

17. Kolesnik M, Fexa A. How robust is svm wound segmentation? Proceedings of the 7Th Nordic Symposium on Signal Processing, 2006 June, 7-9. Rejkjavik, New York: IEEE; 2006. pp. 50-3.

18. Gonzalez RC, Woods RE. Digital Image Processing. 3rd ed. Delhi: Prentice Hall; 2007.

19. Dubois SR, Glanz FH. An autoregressive model approach to two-dimensional shape classification. IEEE Trans Pattern Anal Mach Intell 1986;8:55-66.

20. Herbin M, Venot A, Devaux JY, Piette C. Color quantitation through image processing in dermatology. IEEE Trans Med Imaging 1990;9:262-9.

21. Raykov T, Marcoulides GA. An Introduction to Applied Multivariate Analysis. New York: Routledge Taylor & Francis Group; 2008.

22. Duda RO, Hart PE, Stork DG. Pattern Classification, 2nd ed. Hoboken: Wiley; 2001.

23. Gashaw A, Mohammed H, Singh H. Genetic divergence in selected durum wheat genotypes of Ethiopian plasm. Afr Crop Sci J 2007;15:67-72.

24. Hertzog C. On pooling covariance matrices for multivariate analysis. Educational and Psychological Measurement 1986;46:349-52.

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