Shih_Image_Processing_and_Mathematical_Morpholo.pdf

Preface
Image processing and mathematical morphology have become increasingly
important because digital multimedia, including automated vision detection
and inspection and object recognition, are widely used today. For the purposes
of image analysis and pattern recognition, one often transforms an image
into another better represented form. Image-processing techniques have
been developed tremendously during the past fi ve decades and among them,
mathematical morphology has always received a great deal of attention
because it provides a quantitative description of geometric structure and
shape as well as a mathematical description of algebra, topology, probability,
and integral geometry.
Mathematical morphology denotes a branch of biology that deals with the
forms and structures of animals and plants. It aims at analyzing the shapes
and forms of objects. In computer imaging, it has been used as a tool for
extracting image components that are useful in the representation and
description of object shapes. It is mathematical in the sense that the analysis
is based on set theory, topology, lattice algebra, function, and so on.
This book provides a comprehensive overview of the different aspects
of morphological mechanisms and techniques. It is written for students,
researchers, and professionals who take related courses, want to improve
their knowledge, and understand the role of image processing and mathematical
morphology. This book provides much technical information and,
placing it in a fundamental theoretical framework, helps students understand
the many advanced techniques of these processes. By comprehensively
considering the essential principles of image morphological algorithms and
architectures, readers cannot only obtain novel ideas in implementing these
advanced algorithms, but can also discover new problems.
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