This book provides an overview of advanced digital image and signal
processing techniques that are currently being applied in the realm
of measurement systems. The book is a selection of extended
versions of the best papers presented at the Sixth IEEE
International Workshop on Intelligent Data Acquisition and Advanced
Computing Systems: Technology and Applications IDAACS 2011 related
to this topic and encompass applications that go from
multidimensional imaging to evoked potential detection in brain
computer interfaces. The objective was to provide a broad spectrum
of measurement applications so that the different techniques and
approaches could be presented. Digital Image and Signal Processing
for Measurement Systems concentrates on signal processing for
measurement systems and its objective is to provide a general
overview of the area and an appropriate introduction to the topics
considered. This is achieved through 10 chapters devoted to current
topics of research addressed by different research groups within
this area. These 10 chapters reflect advances corresponding to
signals of different dimensionality. They go from mostly one
dimensional signals in what would be the most traditional area of
signal processing realm to RGB signals and to signals of very high
dimensionality such as hyperspectral signals that can go up to
dimensionalities of more than one thousand. The chapters have been
thought out to provide an easy to follow introduction to the topics
that are addressed, including the most relevant references, so that
anyone interested in this field can get started in the area. They
provide an overview of some of the problems in the area of signal
and image processing for measurement systems and the approaches and
techniques that relevant research groups within this area are
employing to try to solve them which, in many instances are the
state of the art of some of these topics.
General
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