Análisis de la Deforestación usando Inteligencia Artificial y Computación de Alto Desempeño .
This work presents a neuroevolutive model for the classification of brain medical digital images to the support and aid to the medical diagnostic performed by specialists.
Evaluating the physical defects of green coffee beans are an important process in defining their quality. This evaluation is normally carried out by visual inspection or using traditional instruments which have some limitations. This work is focused on the implementation of a computer vision system combining a hardware prototype and a software module.
This paper describes the development of a system for evaluating the quality of coffee focused on the pre-processing of digital images using an algorithm based on the retinex theory called multi-scale retinex with color restoration (MSRCR).
Matching por color y detección de defectos en textiles hilados de fibra de alpaca.
This paper proposes a fuzzy model of dynamic membership functions that vary depending on external factors (interest), seeking to automate the classification of agro-industrial products under the detailed factors.
Análisis físico automatizado del rendimiento de la producción exportable de grano de café verde.
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Soporte y asistencia al diagnóstico médico en MRI por medio del análisis automático de la normalidad y anormalidad
Super resolución aplicada a la detección del cáncer en mamografías digitales.