Digitale Bildverarbeitung: Grundkurs Mit Neuronalen Netzen Und Matlab(r)-Praktikum
Martin Werner
Digitale Bildverarbeitung: Grundkurs Mit Neuronalen Netzen Und Matlab®-Praktikum
Martin Werner
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Digitale Bilder.- Helligkeit und Kontrast.- Punkt- und Rangoperatoren.- LSI-Systeme und lineare Filterung.- Glattungsfilter, Rauschen und Verzerrungen.- Kanten und Konturen.- Kantenscharfen und Hough-Methode.- Morphologische Transformationen.- Fourier-Transformation fur digitale Bilder.- Filtern und Entzerren mit der 2-D-DFT.- Kunstliche Neuronen und Lernen.- Flache neuronale Netze fur die Klassifizierung.- Lernen mit dem Backpropagation-Algorithmus.- Neuronale Netze mit Faltungsschichten
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