DELM image processing for skin-melanoma early diagnosis

Details DELM image processing for skin-melanoma early diagnosis DELM image processing for skin-melanoma early diagnosis

Oct 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997spie.3164..359f&link_type=abstract

Proc. SPIE Vol. 3164, p. 359-370, Applications of Digital Image Processing XX, Andrew G. Tescher; Ed.

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Among the various skin diseases skin tumors are the most serious ones and skin Melanoma is particularly dangerous. Its malignant evolution lasts about 5 or 6 years and ends with the death of the patient. Early diagnosis is a powerful means of preventing this evolution allowing sudden intervention, which increases probability or recover and survival. Aim of the paper is to present the result of an active support system for early diagnosis of melanoma and related skin diseases. The system is based upon a digital acquisition camera with a dedicated illumination system digitally controlled in order to achieve best performance in color and feature discrimination reaching best signal to noise ratio especially in blue band. A polarization framework allows for reflected ray rejection maximization. A new classification approach is presented. It allows for a quantification of morphological patterns and standard parameters in order to implement a computer aided dermatological system. The image information extraction is based on minimal descriptor set of parameters in order to classify chromatic texture and morphological features. The results obtained allow for determination of standard reference grids for pathological cases and reliable and objective classification procedure. We adopt, as reference, the approach used by Stanganelli and Kenet. Through a bioengineering analysis we can organize reference grids that offer the possibility to extract the maximum information content from dermatological data. The classification takes into account the spread and intrinsic descriptors and correspond to the best operative description. Therefore these grids are the more suitable tools for applications which requires active support system for diagnosis. In fact it is possible to obtain quantitative evaluations too. We propose a method based on geometrical synthetical descriptors. All that permits a reliable early diagnosis of melanotic disease and to follow its evolution in time. The first result and the incoming work points to the realization of a system for general dermatological applications.

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