Ambient Diagnostics - Ambient Intelligence for Scientific Discovery - page 245

32. Vico,P.G., Dequanter,D., Somerhausen,N., Andry,G., Cartilier,L.H.: “Fractal Di-
mension of the Deep Margin of Tongue Carcinoma: A Prognostic Tool.” Microscopy
and Analysis (The Americas). (2003) 19-21
33. Pang,B., Zhang,D.: Tongue Image Analysis for Appendicitis Diagnosis. (2002)
34. Xu,L., et al.: “Segmentation of skin cancer images.” Image and Vision Computing
17. (1999) 65-74
35. Esgiar,A.N., Sharif,B.S., Naguib,R.N.G., Bennett,M.K., Murray,A.: “Texture De-
scriptions and Classification for Pathological Analysis of Cancerous Colonic Mu-
cosa.” IEEE Conference on Image Processing and Its Applications, No. 465. (1999)
335-338
36. Haralick, R.M.: “Statistical and structural approaches to texture.” Proceedings of
the IEEE, vol. 67, no. 5. (1979) 786-804
37. Amots, H.: “Machine vision monitoring of plant nutrition.” Ph.D. Dissertation,
Purdue University. (1994)
38. Backhaus,W.G.,Kliegl,R.,Werner,J.S.: Color vision. Walter de Gruyter. (1998)
39. McLaren, K.: “The development of the CIE 1976 (L*a*b*) uniform colour-space
and colour-difference formula.” Journal of the Society of Dyers and Colourists 92.
(1976) 338-341
40. Agoston, G. A.: “Color Theory and Its Application in Art and Design.” Heidelberg.
(1979)
41. Gotleib, L.C., and Kreyszig, H.E.: “Texture descriptions based on co-occurrence
matrices.” Computer Vision, Graphics and Image Processing, vol. 51, no. 1. (1990)
70-86
42. Gose, E., Johnsonbaugh, R., and Jost, S.: Pattern Recognition and Image Analysis.
Prentice-Hall PTR, Englewood Cliffs, NJ. (1996) 372-379
43. Kaplan,L.M.: “Extended Fractal Analysis for Texture Classification and Segmen-
tation.” IEEE Transactions on Image Processing, Vol. 8, No. 11. (1999) 1572-1584
44. Ait-Kheddache, A.: Classification of Textures Using Higher-Order Fractal Dimen-
sions. NCSU Department of Electrical and Computer Engineering. (1998)
45. Ukai,M.: Developing an Image Processing Algorithm for Detection of Deformations
of Tunnel Walls. http://www.rtri.or.jp/infoce/qr/1997/v38 3/news2.html
46. Nieniewski,M., Chmielewski,L., Jozwik,A., Sklodowski,M: “Morphological Detec-
tion and Feature-Based Classification of Cracked Regions in Ferrites.” Proc. of
IPMAM '99, Warsaw. (1999)
47. Reed, T. R., and DuBuff, J.M.H.: “A review of recent texture segmentation and
feature extraction techniques.” CVGIP: Image Understanding, vol. 57, no. 3. (1993)
359-372
48. Tamura, H., Mori, S., and Yamawaki, T.: “Texture features corresponding to visual
perception.” IEEE Transactions, SMC, vol. 8. (1978) 460-473
49. Sonka, M, et al.: Image Processing, Analysis and Machine Vision. PWS Publishing.
(1999)
50. Li,G. and Cai, Y.: “Texture analysis for tongue analysis.” Technical Report BV-
2003-2, School of Computer Science, Carnegie Mellon University. May. (2003)
51. Inselberg, A and Dimsdale, B.: “Multidimensional lines i: representation.” SIAM
J. Applied Math, 54(2). (1994) 559-577
52. Hall, L. and Berthold, M.: “Fuzzy Parallel Coordinates.” Fuzzy Information Pro-
cessing Society, NAFIPS. 19th International Conference of the North American,
Atlanta, GA, USA. (2000) 74-78
53. Mitchell, T.: Machine Learning. McGraw Hill. (1997)