Supervised tissue classification from color images for a complete wound assessment tool

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 6031-6034

  Wannous, Hazem ^b   Treuillet, Sylvie ^c   Lucas, Yves ^a,b  

^a IEEE

^b UNIVERSITÉ D'ORLÉANS   (France)

^c UNIVERSITÉ CLERMONT AUVERGNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL CAMERAS; MATHEMATICAL MODELS; PROJECT MANAGEMENT; THREE DIMENSIONAL;

3D MODELS; COMPLETE WOUND ASSESSMENT TOOLS; ESCALE PROJECT; SUPERVISED TISSUE CLASSIFICATION;

IMAGE CLASSIFICATION;

EID: 57649238027     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353723     Document Type: Conference Paper

References (19)

1. M. Romanclli, G. Gaggio, A. Piaggcsi, M. Coluccia and F. Rizello, "Technological advances in wound bed Measurements," Wounds, vol. 14, no. 2, pp. 58-66, 2002.
2. B.F. Jones and P. Plassman, "An instrument to measure the dimensions of skin wounds," IEEE Trans. on Biomed. Eng., vol. 42, no. 5, pp. 464-470, May 1995.
3. H. Oduncu, A. Hoppe, M. Clark, R.J. Williams and K.G. Harding, "Analysis of skin wound images using digital color image processing: a preliminary communication," Lower Extremity Wounds, vol. 3, no. 3, pp. 151-156, 2004.
4. P. Plassman and D.J. Jones, "Improved active contour models with application to measurement of leg ulcers," Journal of Electronic Imaging, vol.12, no. 2, pp. 317-326, April 2003.
5. P. Plassman and B.F. Jones, "MAVIS: a non-invasive instrument to measure area and volume of wounds," Medical Engineering Physics, vol. 20, no. 5, pp. 332-338, 1998.
6. J.R. Mekkes and W. Westerhof, "Image processing in the study of wound healing," Clin. Dermatology, vol. 13, no. 4, pp. 401-407, 1995.
7. W.P. Berriss and S.J. Sangwine, "Color histogram clustering technique for tissue analysis of healing skin wound," in proceedings of 6th Int. Conf. on Image Processing and its Applications, Part 2, July 14-15, Dublin, Ireland, pp. 693-99, 1988.
8. A. Perez, A. Gonzaga, J. Alves, "Segmentation and analysis of leg ulcers color images, " Medical Imaging and Augmented Reality, June 10-12, Hong Kong, pp. 262-266, 2001.
9. H. Zheng, L. Bradley, D. Patterson, M. Galushka, "New protocol for leg ulcer tissue classification from color images". IEEE EMBS, San Francisco, vol.2, pp. 1389-1392, 2004.
10. M. Kolcsnik and A. Fcxa, "Segmentation of Wounds in the Combined Color-Texture Feature Space," Medical Imaging, vol. 5370, pp. 549-556, 2004.
11. M. Galushka, H. Zheng, D. Patterson and L. Bradley, "Case-based tissue classification for monitoring leg ulcer healing," CBMS, pp. 353-358, 2005.
12. M. Callieri, P. Cignoni, M. Coluccia, G. Gaggio, P. Pingi, M. Romanelli and R. Scopigno, "Derma: monitoring the evolution of skin lesions with a 3D system," 8th Int. Workshop on Vision, Modeling and Visualization, November 19-21, Munich, pp. 167-174, 2003.
13. th Meeting of the European Pressure Ulcer Advisory Panel, Berlin, September 2006.
14. B. Albouy, E. Koenig, S. Treuillet and Y. Lucas, "Accurate 3D structure measurements from two uncalibrated views," Lecture Notes in Computer Science, vol. Advanced Concepts for Intelligent Vision Systems, pp. 1111-1121, September 2006.
15. G. Y. Tian, D. Gledhill, D. Taylor and D. Clarke, "Color Correction for Panoramic Imaging," IV02, pp. 483-488, 2002.
16. D. Comaniciu and P. Meer, "Robust analysis of feature space: color image segmentation," in proceedings IEEE Conf. on CVPR, Puerto Rico, pp. 750-755, 1997.
17. Y. Deng and B.S. Manjunath, "Unsupervised segmentation of color textures regions in images and video, " IEEE Trans. on PAMI, vol. 23, no. 8, pp. 140- 147, August 2001.
18. L. Priese and Rehrmann, "Fast and robust segmentation of natural color scenes," in proceedings of Asian Conf. on Computer Vision, Hong-kong, pp. 598-606, 1998.
19. T. Joachims, Making Large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT Press, 1999.