Books > Computing & IT > Applications of computing > Image processing
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Modern Metaheuristics in Image Processing (Hardcover)
Loot Price: R1,564
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Modern Metaheuristics in Image Processing (Hardcover)
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The use of metaheuristic algorithms (MA) has been increasing in
recent years, and the image processing field is not the exempted of
their application. In the last two years a big amount of MA has
been introduced as alternatives for solving complex optimization
problems. This book collects the most prominent MA of the 2019 and
2020 and verifies its use in image processing tasks. In addition,
literature review of both MA and digital image processing is
presented as part of the introductory information. Each algorithm
is detailed explained with special focus in the tuning parameters
and the proper implementation for the image processing tasks.
Besides several examples permits to the reader explore and confirm
the use of this kind of intelligent methods. Since image processing
is widely used in different domains, this book considers different
kinds of datasets that includes, magnetic resonance images, thermal
images, agriculture images, among others. The reader then can have
some ideas of implementation that complement the theory exposed of
each optimization mechanism. Regarding the image processing
problems this book consider the segmentation by using different
metrics based on entropies or variances. In the same way, the
identification of different shapes and the detection of objects are
also covered in the corresponding chapters. Each chapter is
complemented with a wide range of experiments and statistical
analysis that permits the reader to judge about the performance of
the MA. Finally, there is included a section that includes some
discussion and conclusions. This section also provides some open
questions and research opportunities for the audience.
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