The purpose of the study is to develop a method for predicting the development of observed processes of various natures using their digital images containing information that is inaccessible to visual perception. The scientific novelty lies in the transformation of digital images, which allows us to qualitatively and quantitatively assess the state of the observed process (system). In this case, a qualitative analysis of the dynamics of changes in a digital image is carried out visually with an accuracy of one pixel. To quantify the stability of the system, the Hurwitz criterion was used. The developed method was used to assess the surface strength of fatigue specimens under bending loading. As a result, it was found that small changes on the surface of the specimen, which are not visually recorded, make it possible to determine the moment when the system starts to lose its steady state.
KEYWORDS: Medical imaging, Tissues, Bone, X-rays, X-ray imaging, Diagnostics, Image segmentation, Visualization, Human vision and color perception, Image analysis
We suggest a method for visualizing minor changes in a medical image. Human vision has natural resolution limitations. Monitoring and analysis of minor changes in the medical image off-limits to human vision allows to draw the doctor's attention to possible problems and helps in disease diagnostics. To monitor the changes in the medical image, we used its transformation based on the solution of a special case of the knapsack problem. Transformation of the medical image allows to capture changes in a digital image with an accuracy of one pixel. The transformed medical image is adapted for the perception of human vision. One-pixel changes in the image are well captured by an untrained operator. Testing the method of the transformed medical image on X-ray images of the temporomandibular joint showed the following: the transformed images of fragments of healthy bone tissue on different parts of the jaw have similar shape and approximately the same color scheme. The shape of the transformed image of bone tissue after treatment is similar to the transformed image of healthy bone tissue. The shape and color scheme of the transformed image of diseased bone tissue do not match the shape and color of the transformed image of healthy bone tissue and the transformed image of bone tissue after treatment. Therewith, relatively small transformed image files can be used for preliminary remote diagnostics. The full files shall be transferred only if the doctor detects particular deviations from the norm on the transformed images. The proposed method of the medical image transformation can be used for remote detection of diseases and in other areas of medicine.
We propose the design of an information-measuring system for evaluating performance parameters of lighting devices.
The system comprises four basic components: a software-hardware complex for designing lighting devices, an emulator
of natural and technogeneous effects on an optical surface, an optical surface condition analyzer, and a lighting-device
laboratory test unit. With this system, the duration of optical device certification tests can be reduced by several orders of
magnitude when compared to full-scale tests.
The article analyzes a wide range of technologies generated by the application of focusators of laser radiation. I give a brief review of the methods of monitoring substrate and forming a diffraction microrelief, optical systems and devices for experimental research of focusators, laser technologies and units on their basis. In particular, I analyze using focusator into the ring for growing single-crystalline fibers in device of mini pedestal, using focusator into a set of rings for information-measuring system of three-dimensional control of grid spacers and other applications of focusators.
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