Experiments shown that the proposed models are highly competitive. In this work, two methods based on the Intersection Cortical Model are proposed and implemented to enhance the luminosity in medical human brain image. Caracterizacin fractal de ventrculos cerebrales normales en imgenes de resonancia magntica ponderadas en T2. The need to obtain good quality images and the tendency to increase the resolution of images, require new techniques to solve this problem in less time, that's why there is a need to looking for paradigms that would can take advantage of parallel computing such as Pulsed-Coupled Artificial Neural Networks. Te proponemos una forma de mantener tu cerebro activo que es divertida, gratificante y relajada: los libros de pasatiempos. The images affected in its luminosity generate a problem for its correct analysis, since they have a short dynamic range and low contrast. El cerebro es como un músculo, cuanto más se usa, más se fortalece. Experiments shown that the proposed models are highly competitive.ĪB - Digital images are widely used in the medicine area but these could be degraded by several factors. In this work, two methods based on the Intersection Cortical Model are proposed and implemented to enhance the luminosity in medical human brain image. The need to obtain good quality images and the tendency to increase the resolution of images, require new techniques to solve this problem in less time, that's why there is a need to looking for paradigms that would can take advantage of parallel computing such as Pulsed-Coupled Artificial Neural Networks. El modelo de cerebro con ms de 3.000 neuronas, basado en el de un insecto, posee similitudes estructurales con el de un ser humano. The images affected in its luminosity generate a problem for its correct analysis, since they have a short dynamic range and low contrast. N2 - Digital images are widely used in the medicine area but these could be degraded by several factors. T1 - Mejora eficiente de la luminosidad en imágenes del cerebro humano utilizando redes neuronales pulso-acopladas
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