EAN: 9783030393632

UNDERGRADUATE TOPICS IN COMPUTER SCIENCE INTR...

This easy-to-follow textbook presents an engaging introduction to the fascinating world of
medical image analysis. Avoiding an overly mathematical treatment  the text focuses on
intuitive explanations  illustrating the key algorithms and concepts in a way which will make
sense to students from a broad range of different backgrounds. Topics and features: explains
what light is  and how it can be captured by a camera and converted into an image  as well as
how images can be compressed and stored  describes basic image manipulation methods for
understanding and improving image quality  and a useful segmentation algorithm  reviews the
basic image processing methods for segmenting or enhancing certain features in an image  with a
focus on morphology methods for binary images  examines how to detect  describe  and recognize
objects in an image  and how the nature of color can be used for segmenting objects  introduces
a statistical method to determine what class of object the pixels in an image represent 
describes how to change the geometry within an image  how to align two images so that they are
as similar as possible  and how to detect lines and paths in images  provides further exercises
and other supplementary material at an associated website. This concise and accessible textbook
will be invaluable to undergraduate students of computer science  engineering  medicine  and
any multi-disciplinary courses that combine topics on health with data science. Medical
practitioners working with medical imaging devices will also appreciate this easy-to-understand
explanation of the technology.

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