This paper describes an approach to solving the problem of fast pattern recognition with image co-ordinate detection and measurement under undefined noise and signal conditions. An analysis of the use of the W-transform method as a basis for image comparison algorithms was carried out. Image comparison algorithms with noise robustness were developed.
KEYWORDS: 3D modeling, Data modeling, Visual process modeling, Instrument modeling, Aerodynamics, 3D printing, Prototyping, Mathematical modeling, Computed tomography, Visualization
The essence of the development is to obtain data from imaging tools, as a rule, spiral computed tomography, which allows visualizing bone-cartilaginous and soft tissue structures of the nasal cavity with high spatial resolution and contrast, preparing a 3D model for prototyping using specialized programs - slicers dividing the reproduced object into sections, taking into account the hardware features of the prototyping device, the 3D printing stage for obtaining a mode and implementation of this model is given manipulation - training with the help of selected surgical instruments. After a virtual change in the spatial configuration of the nasal cavity and re-manufacturing of a real model, it is possible to conduct comparative tests of both full-scale models on an aerodynamic bench to determine and analyse indicators of nasal resistance – pressure drop and corresponding air flow.
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