期刊名称:Eastern-European Journal of Enterprise Technologies
印刷版ISSN:1729-3774
电子版ISSN:1729-4061
出版年度:2017
卷号:5
期号:10
页码:46-54
DOI:10.15587/1729-4061.2017.109868
语种:English
出版社:PC Technology Center
摘要:The study presents results of mathematical modeling of protective coloration of foxes in order to discover on the ground the animals, which are potential reservoirs of rabies. For simulation, discrete dynamical model, dynamics of which is determined by relationships between components, was used. This type of models was previously used for formalized description of the structure of relationships of components and dynamics of various biological systems.The authors constructed the idealized trajectory of the system of plant community in habitat of foxes and idealized pseudo trajectory of the system, reflecting distribution of various combinations of colorometric parameters of protective coloration of these animals. The trajectories of these systems were constructed using rechronization technique. This technique implies that various sections of the image of a system change their colorometric parameters within one cycle, but are in different phases of this cycle.As a result of comparison of obtained idealized trajectories, feature space that allow us to distinguish between the image of protective coloration of foxes and the image of plant communities, was determined. This is a two-dimensional feature space, coordinates of which are systemic colorometric parameters of the RGB model of the image.Unmasking of the brood of young foxes against grassy background with the use of the proposed technique made it possible to determine location of the animals in the image, sharpness and contrast range of which were deliberately artificially degraded.Improvement of methods of animal unmasking on terrain by digital photos allows us to enhance effectiveness of measures on elimination of biosafety hazards, caused by rabies of wild animals.
关键词:dynamical systems;remote detection of animals;identification of models;colorometric parameters;rabies