Quantitative analysis might constitute providence about the size 
of scar during the observation of the healing process but they 
must be evaluated very carefully. 
Finally, in order to make any standard about this kind of study, 
different type of skin damages must also be investigated 
profoundly with in-depth information. Texture of the scar is 
another aspect, which should be taken into consideration in the 
stage of determination of the disorder. Besides the type of 
damage, color is another important criterion that can provide 
auxiliary information. Especially with the usage of color 
calibration method, some disorder type can be defined in charts 
and it disposes observer dependence in a considerable extend. 
Photoshop is a really “cool” image processing tool and has been 
used for its big variety of tools (selection tools, filters etc) and 
its wide usage among people with different knowledge 
background on computers. All of the above mentioned 
algorithms and techniques should be developed and embedded 
in a dedicated software application in order to be used 
appropriately for the evaluation of skin damages. However, this 
is a kind of research that must be performed in different level 
and is far beyond the current work. 
9, REFERENCES 
Adelmann, H. G., 1998: Butterworth equations for 
homomorphic filtering of images. Computers in Biology and 
Medicine 28 (1998) pp. 169-181. 
Adobe Photoshop Help Centre. 
http://livedocs.adobe.conven US/Photoshop/10.0 (30.01.2011) 
Al-Amri, S. S., Kalyankar, N. V., and Khamitkar, S. D., 2010: 
Linear and non-linear contrast enhancement image. 
International Journal of Computer Science and Information 
Secuity, Vol. 10, no.2, pp. 139-143. 
Boersma, S.M., Van den Heuvel, F.A,, Cohen, A.F., Scholtens, 
R. E. M., 2000. Photogrammetric Wound Measurement with a 
Three-Camera Vision System, International Archives of 
Photogrammetry & Remote Sensing, Vol. XXXIII Amsterdam, 
Netherlands. 
Lowe, D., 2005: Demo Software: SIFT Keypoint Detector, The 
University of British Colombia. 
http://www .cs.ube.cai~lowe/keypoints/ (10 Jan 2011). 
Matthys, D., 2001: Digital image processing, 
http://academic.mu.edu/phys/matthysd/web226/index htm 
(01 Jan 2011) 
Meng, Y., Tiddeman, B., n.d: 1981: Implementing the Scale 
Invariant Feature Transform(SIFT) Method, University of St. 
Andrews, Department of Computer Science, http://www.cs.st- 
andrews.ac.uk/-yümeng/yumeng-SIFTreport-5.18 bptpdf (28 
Dec. 2010) 
Ramazani, A., Ahmadieh, H., Azarmina, M.; Soheilien, M., 
Dehghan, M.H., Mohebbi, M.R., 2008: Agreement between 
clinical estimation and a new quantitative analysis by 
Photoshop software in fundus and angiographic image 
variables. Springer Science+Business Media B.V. 
Spartalis Yousif (XxáproAng Icono), 2005: Digital Image 
Processing with Photogrammetric methods for medical 
purposes, MSc Thesis, Aristotle University of Thessaloniki, 
Thessaloniki, Greece. 
Wolf, P. R., Dewitt, B. A., 2000: Elements of photogrammetry 
with applications in GIS, 3rd Edition. The McGraw-Hill 
Companies, Inc. pp. 431 
Url-1< http://usa.canon.com/content/rebelxti/EOS%20Digital% 
20Rebel% 20XTi% 20Spec.pdf > (05.12.2010). 
10. ACKNOWLEDGEMENT 
I would like to thank Associate Professor Vassilios Tsioukas for 
his guidance in all stage of this study and supplying the 
necessary digital equipment. I would also like to thank Mr. 
Photis Patonis for providing me a good working environment in 
the Photogrammetry and Remote Sensing Laboratory of the 
Rural and Surveying Engineering Dept. and for his great 
company. 
   
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