Digital imaging is now ubiquitous, from the smart phone in your pocket to state-of-the-art medical imaging and satellite imagery. Raw imaging data can be manipulated using computer algorithms to perform a range of functions from reducing noise to complex image analysis and pattern and object recognition. The result is that digital image processing has applications in almost all areas of science and engineering. Designed for a one semester course, the aim of this book is to concentrate on the principles and techniques of image processing.
This second edition includes important updates to the first edition, as well as two entirely new chapters: the first on machine learning, where many techniques of machine learning including artificial neural networks are discussed, with the second new chapter focussing on error correcting codes and cryptography. Sample programmes have again be provided as supplementary material for the reader's benefit.
This second edition includes important updates to the first edition, as well as two entirely new chapters: the first on machine learning, where many techniques of machine learning including artificial neural networks are discussed, with the second new chapter focussing on error correcting codes and cryptography. Sample programmes have again be provided as supplementary material for the reader's benefit.
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