A comprehensive reference of cutting-edge advanced techniques for
quantitative image processing and analysis
Medical diagnostics and intervention, and biomedical research
rely progressively on imaging techniques, namely, the ability to
capture, store, analyze, and display images at the organ, tissue,
cellular, and molecular level. These tasks are supported by
increasingly powerful computer methods to process and analyze
images. This text serves as an authoritative resource and
self-study guide explaining sophisticated techniques of
quantitative image analysis, with a focus on biomedical
applications. It offers both theory and practical examples for
immediate application of the topics as well as for in-depth
Advanced Biomedical Image Analysis presents methods in the four
major areas of image processing: image enhancement and restoration,
image segmentation, image quantification and classification, and
image visualization. In each instance, the theory, mathematical
foundation, and basic description of an image processing operator
is provided, as well as a discussion of performance features,
advantages, and limitations. Key algorithms are provided in
pseudo-code to help with implementation, and biomedical examples
are included in each chapter.
Image registration, storage, transport, and compression are also
covered, and there is a review of image analysis and visualization
software. The accompanying live DVD contains a selection of image
analysis software, and it provides most of the algorithms from the
book so readers can immediately put their new knowledge to use.
Members of the academic community involved in image-related
research as well as members of the professional R&D sector will
rely on this volume.
It is also well suited as a textbook for graduate-level image
processing classes in the computer science and engineering
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