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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.
Price: $95.99
Pages: 350
Publisher: De Gruyter
Imprint: De Gruyter
Series: De Gruyter Textbook
Publication Date:
27 December 2027
ISBN: 9783110768220
Format: Paperback
BISACs:
TECHNOLOGY & ENGINEERING / Signals & Signal Processing, SCIENCE / Physics / Electromagnetism, COMPUTERS / Design, Graphics & Media / General, TECHNOLOGY & ENGINEERING / Materials Science / Electronic Materials
PD Dr. Matthias Schröter, Max-Planck-Institute for Dynamics and Self-Organization, D-37077 Göttingen, Germany.