Applied Image Processing
Classical Algorithms and Neural Networks
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Beschreibung
This work covers different techniques – the traditional ones and the latest methods profiting from deep learning and neural networks – to measure and describe content in digital images. The author presents the best of both worlds using hands-on Python examples that run directly in a browser and analyses the advantages and shortcomings of both approaches.
Autor*in
Matthias Schröter
Themen in »Applied Image Processing«
Bildverarbeitung Computer Vision Machine Learning Bildsegmentierung Künstliches neuronales Netz Image processing Computer vision Machine learning Image segmentation Convolutional neural networks