Markers detection on facies of human biological fluids

Abstract The precise diagnostics of different diseases is very important for its treatment. It is particularly important to differentiate the disease on the early stages when the pathological alterations have not yet caused great harm to the whole organism, since this allows using greater number of therapies and increase the recovery probability. One of the methods of early diagnostics is based on examination of human biological liquids (blood, tears, cervical mucus, urine, etc,). A small drop of liquid is drawn on an object-plate and dried out slowly, thus a thin dry film (facies) remains. In the process of fluid crystallization there appear characteristic patterns (markers) in the facies. Each marker is a highly definite sign of some pathology even at an early stage of a disease development. When mass population health examination is carried out, it is necessary to analyze a large number of images This is the reason the problem of algorithm and software development for automated processing of images is rather urgent nowadays. In this paper, the algorithms for detecting several markers on images of facies are presented. First, the characteristic features (location, geometry, brightness, variation, spectrum, etc.) were revealed by means of their visual analysis of markers. Then, the methods of algorithmic detection of these features were developed. The decision about the presence of the marker was made provided a set of its necessary characteristics. Tests of algorithms showed that correctly identified images with different markers was 92-98% with 10-14% of false alarms.