Abstract
The constant technological innovation in devices for the acquisition of digital images such as: energy-efficient and high-pixel sensors, memories with greater storage capacity and processors capable of sampling digital signals more quickly, have made it possible to digitize with greater reliability real life scenes in an instant of time, making it possible to analyze and interpret different physical phenomena [1][2][3] such as fractures in materials, evasion of obstacles, weather conditions, injury detection, among others, giving rise to a new line of research called Artificial Vision (AV) focused on generating algorithms to improve image quality, segment characteristics of interest and eventually recognize patterns, in order to make more efficient image processing for the solution of problems in robotics, automation, security, medicine, veterinary, and others. The research aims to develop a database of thermographic images of pregnant and non-pregnant sheep, providing a tool for specialists in the area of computer intelligence and artificial vision.
Highlights
In the scientific and technological field, the use of infrared thermography has been oriented towards veterinary, medical and safety applications
Among the works in this area, a study in [6] detected the presence of virus serotype 1 and virus serotype 8 of the bluetongue disease through a correlation between rectal temperature and the temperature obtained in the thermograms; [7] analyzed with thermograms the superficial changes in the udders of cows infected by mastitis after having experimentally induced the intestinal tract bacteria Escherichia Coli, concluding that thermography is very useful in these applications; In [8], they evaluated with thermograms and rectal temperature the gestation of mares, detecting a difference in temperature between pregnant and non-pregnant mares, which allows their classification between these two states regardless of the breed and color of the animal
The present study proposes the creation of a database of thermographic images that were treated with an artificial vision algorithm to enhance the areas with the highest heat emission in the ventral area of of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI
Summary
In the scientific and technological field, the use of infrared thermography has been oriented towards veterinary, medical and safety applications. Among the works in this area, a study in [6] detected the presence of virus serotype 1 and virus serotype 8 of the bluetongue disease through a correlation between rectal temperature and the temperature obtained in the thermograms; [7] analyzed with thermograms the superficial changes in the udders of cows infected by mastitis after having experimentally induced the intestinal tract bacteria Escherichia Coli, concluding that thermography is very useful in these applications; In [8], they evaluated with thermograms and rectal temperature the gestation of mares, detecting a difference in temperature between pregnant and non-pregnant mares, which allows their classification between these two states regardless of the breed and color of the animal. This database aims to provide useful material for the development and testing of artificial intelligence and vision algorithms such as: pattern recognition and classification
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