Visual method of hair analysis in medicine is called phototrichogrametry. Method is based on the interpretation of two image showing the physical changes of the hair. The photos are taken in green light, exposing both thin and thick hairs. By the help of the software the density of facial hair is determined and intensity of growth is assessed. Length increment can be approximately determined also. standardization, objectivity, reliability, decreasing errors and saving time make this method valuable healing experiment platform.
Two new computer diagnostic methods for the automatic determination of glaucoma diagnosis are presented and compared in this paper: the statistical method and the neural net method. Both introduced methods evaluate colour glaucomatous changes within the optic disc area. The mentioned colour changes are numerically represented using a suitable image analysis process. Next, the investigated eye is classified to three defined glaucoma-risk classes with different reliability of the diagnosis determination. The verification and the reliability comparison of both studied methods are performed by virtue of the application of this methods to a set of normal healthy optic disc images and a set of glaucomatous optic disc images.
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