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Developing an Automated Image Processing Algorithm for Micro-Object Measuring

At the present stage of scientific and technological development, the challenges associated with micro-objects (particles, drops, pores, cellular structures, biological organisms, etc.) measurement arise in different areas. For example, it is relevant in energetics (fuel emulsifying and spraying) and powder metallurgy (the injection of various dispersed additives by means of gas jets). Particle size is directly related to critical parameters of the pharmaceuticals (bio-availability, dissolution and absorption behavior). In laboratory medicine precise routine assessment of particle shape and size is essential for diagnosis, treatment and follow-up of patients. Another important characteristic that determines the mechanical and thermal properties of a material is its porosity. Porous materials are widely used in variety of scientific and technological fields. So, investigation of the porous media micro-structure is highly relevant problem. Despite the widespread development of video-measuring methods, modern computerized systems are not universal and their capabilities are limited by specific applications. A lot of unmet needs require further research in this area.

Aim of proposed research is to design new and/or improve existing models, methods and algorithms for digital image processing and parametric object identification and develop an automated system for computer diagnostics of dispersed formations, porous media or other micro-objects.

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