Paper
17 May 2022 Image processing and pattern recognition issues
Yuliya S. Gusynina, Tatiana A. Shornikova
Author Affiliations +
Proceedings Volume 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021); 122510B (2022) https://doi.org/10.1117/12.2631054
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 2021, Dushanbe, Tajikistan
Abstract
The article addresses some practical issues of image processing and pattern recognition in relation to medical and clinical trials. Medical and clinical diagnosis acts as an applied task. It is associated with the recognition on photographs and radiographs of sick people of pathologies of various types. Discretization of objects is carried out using specially designed rules that have different views for tone, color and multi-color images. Also, its algorithm has discretization of continuous curves and lines, points and polyhedra. Various image transformations are described, allowing the doctor to obtain several different projections of any internal organ of the patient. These are axial transverse tomography, image filtering, change of coordinate system, decomposition of images into rows, interpolation and approximation of images.
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Yuliya S. Gusynina and Tatiana A. Shornikova "Image processing and pattern recognition issues", Proc. SPIE 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 122510B (17 May 2022); https://doi.org/10.1117/12.2631054
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KEYWORDS
Image processing

Pattern recognition

Visualization

Raster graphics

Image compression

Image segmentation

Photography

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