کلمات کلیدی مربوط به کتاب هندسه دیجیتال در پردازش تصویر: انفورماتیک و مهندسی کامپیوتر، گرافیک کامپیوتری
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CRC Press, 2013. — 316 p. — (IIT Kharagpur Research Monograph
Series). — ISBN: 1466505672, ISBN-13: 9781466505674
Authors: Jayanta Mukhopadhyay, Partha Pratim Das, Samiran
Chattopadhyay, Partha Bhowmick, Biswa Nath Chatterji.
In a digital image, each element has
an integral coordinate position and has a finite set of points
in its neighborhood. On the other hand, a point in a Euclidean
space has an infinite number of neighboring points. This
indicates that the geometry in the digital image space is
non-Euclidean. One must study this geometry and its
approximation to the Euclidean world, to correlate the
measurements and shape of geometric objects with our common
notion of Euclidean geometry. The geometry in the digital space
is called digital geometry. However, one should note that this
geometry is not unique. In different ways, digital geometry may
be defined depending upon the neighborhood definition of a
point in the space or the distance functions used for the same
purpose. In this book, we discuss different digital geometries
in multi-dimensional integral coordinate spaces, and also study
some of their interesting properties, including their metric
and topological properties, shapes of circles (for 2-D space)
and spheres (for 3-D space), proximity to Euclidean norms, and
a number of theoretic representations of different geometric
objects such as straight lines, circles, etc. We will
demonstrate how these concepts and properties are useful in
different techniques for image processing and analysis. In
particular, their applications in object representation and
shape analysis are extensively covered in different chapters of
this book.
At IIT Kharagpur, there has always been a strong research group
working in this area for about the last three decades. Though
there exist some good texts and reference books covering the
topics of image processing and digital geometry in general, it
is felt by this group of authors that there is a need to
connect these two topics highlighting the important results of
digital geometry which are used in image analysis and
processing. This book is the outcome of that endeavor. The
project was also initiated in the diamond jubilee year of this
prestigious institute as a part of publishing a series of
monographs highlighting the continuing research and development
activities in different areas. However, while writing this book
we treated all the topics comprehensively elucidating the
important and significant results of other researchers.
Nevertheless in all the topics, as there is a significant
research contribution by the authors themselves, it adds more
depth and clarity in their presentation. We hope the book will
be useful to the researchers in these areas, and also in
teaching advanced topics in image processing and digital
geometry to graduate and research students.
Digital Topology: Fundamentals
Distance Functions in Digital Geometry
Digitization of Straight Lines and Planes
Digital Straightness and Polygonal Approximation
Parametric Curve Estimation and Reconstruction
Medial Axis Transform
Modeling of a Voxelated Surface