Bibliographic citations
Vallejos, G., Gameros, C. (2024). Desarrollo de un equipo electrónico orientado a la obtención del nivel de calidad de esperma bovino, basado en algoritmos de procesamiento digital de imágenes de microscopio óptico [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/683538
Vallejos, G., Gameros, C. Desarrollo de un equipo electrónico orientado a la obtención del nivel de calidad de esperma bovino, basado en algoritmos de procesamiento digital de imágenes de microscopio óptico [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/683538
@misc{renati/1300598,
title = "Desarrollo de un equipo electrónico orientado a la obtención del nivel de calidad de esperma bovino, basado en algoritmos de procesamiento digital de imágenes de microscopio óptico",
author = "Gameros Villanera, Carlos Santiago",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
The present work develops a method that allows evaluating the quality of bovine sperm samples through computational analysis methods of video fragments obtained through an optical microscope based on thresholding and recognition of moving sperm. The objective is to perform quality control based on sperm motility using appropriate algorithms adaptable to the use of moving images, in order to isolate the sperm and extract movement parameters from different samples to classify their motility index in the most accurate way. speed possible in processing, compared to other alternatives on the market, which usually present manual methods based on subjective visual analysis and the use of large equipment that presents computational requirements not available at all times for the target client, that is, the small and medium-sized livestock farmers. The motion measurement processing consists of different stages where a video of bovine sperm is captured, it is converted to a gray scale, subsequently, the objectives are filtered to improve the binary image obtained, they go through the respective thresholding and thus find the present contours. The proposed system is composed of a microscope for adequate viewing of the samples, a camera compatible with the microscope lens that will be responsible for recording the videos of the samples, a small board computer that will perform the video processing and classification, and a touch screen on which the results can be viewed.
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