The work improves the indirect measurement of the parameters of inhomogeneous natural media by a multispectral method and using fuzzy logic. To solve the inverse problem of indirect measurement of damage parameters, fuzzy logic and MATLAB software were used. The proposed approach ensures the completeness of the relational fuzzy knowledge base and allows reducing the tuning time of the fuzzy model due to the reduced representation of the IF-THAT rules in the form of matrices of fuzzy relationships.
On the basis of the indicatrix of scattering of the particles were calculated spectral characteristics of anisotropy factor for spherical particles with different diameters. The mathematical model of a single layer of a suspension of particles of an inhomogeneous biological medium connects its biophysical and structural parameters and the spectral characteristics of coefficient of diffuse reflection or directional transmission. After conducting multispectral measurements, biophysical and structural parameters are required to be measured indirectly using the regression equation system.
Melanoma skin is difficult to diagnose in the early stages of development despite its location outside. Melanoma is difficult to visually differentiate from benign melanocytic nevi. In the work we investigated parameters of human intact skin in near-infrared range for different racial and gender groups. This allows to analyze statistical differences in the coefficient of diffuse reflection and use them in the differential diagnosis of cancer by optical methods subject.
Improved methods for multispectral measuring television monitoring of the ecological state of water bodies on the characteristics of macrophytes groups to assess complex human impact on their environment. Integral assessment of water pollution is based on research products of higher aquatic plants and their communities by optical methods.
The paper presents improvement of the method of environmental monitoring of water bodies based on bioindication by phytoplankton, which identify phytoplankton particles carried out on the basis of comparison array multispectral images using Bayesian classifier of solving function based on Mahalanobis distance. It allows to evaluate objectively complex anthropogenic and technological impacts on aquatic ecosystems.
The method and a diagnostic tool based on a digital colorimetry and multispectral images of biological tissues are improved and developed. The method consists of measuring the color coordinates in the biological tissue, or XYZ coordinates in n-dimensional multispectral space in a diffuse light from the standard light source.
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