P K Thiruvikraman

A Course on Digital Image Processing with MATLAB® (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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. It provides an in-depth presentation of key topics, including many techniques not included in introductory texts. Practical implementation of the various image processing algorithms is an important step in learning the subject, and computer packages such as MATLAB® facilitate this without the need to learn more complex programming languages. Whilst two chapters are devoted to the MATLAB® programming environment and the image processing toolbox, the use of image processing algorithms using MATLAB® is emphasised throughout the book, and every chapter is accompanied by a collection of exercises and programming assignments. Including coverage of colour and video image processing as well as object recognition. The book is augmented with supplementary MATLAB® code and hints and solutions to problems are also provided.

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Produktdetails

• Verlag: Institute of Physics Publishing
• Seitenzahl: 300
• Erscheinungstermin: 20. November 2019
• Englisch
• ISBN-13: 9780750326049
• Artikelnr.: 58336670

Autorenporträt

P K Thiruvikraman is currently a professor of physics at Birla Institute of Technology and Science, Pilani. He has nearly two decades of experience in teaching courses in many areas of physics, a PhD in physics from Mangalore University and a master's degree in physics from the Indian Institute of Technology, Madras. During his teaching career he has come to realize that most subjects that are typically offered by different departments are intimately interrelated. He tries to convey this to students in his lectures by quoting examples from different areas of science and technology. An avid reader of both fiction and non-fiction and a sports and movie enthusiast, he also tries to use these to enliven his classes.