Digital Image Processing: An Algorithmic Introduction Using Java (texts In Computer Science)
by Wilhelm Burger /
2016 / English / PDF
33 MB Download
This revised and expanded new edition of an internationally
successful classic presents an accessible introduction to the key
methods in digital image processing for both practitioners and
teachers. Emphasis is placed on practical application, presenting
precise algorithmic descriptions in an unusually high level of
detail, while highlighting direct connections between the
mathematical foundations and concrete implementation.
This revised and expanded new edition of an internationally
successful classic presents an accessible introduction to the key
methods in digital image processing for both practitioners and
teachers. Emphasis is placed on practical application, presenting
precise algorithmic descriptions in an unusually high level of
detail, while highlighting direct connections between the
mathematical foundations and concrete implementation.
The text is supported by practical examples and carefully
constructed chapter-ending exercises drawn from the authors'
years of teaching experience, including easily adaptable Java
code and completely worked out examples. Source code, test images
and additional instructor materials are also provided at an
associated website.
The text is supported by practical examples and carefully
constructed chapter-ending exercises drawn from the authors'
years of teaching experience, including easily adaptable Java
code and completely worked out examples. Source code, test images
and additional instructor materials are also provided at an
associated website.Digital Image Processing
Digital Image Processing is the
definitive textbook for students, researchers, and professionals
in search of critical analysis and modern implementations of the
most important algorithms in the field, and is also eminently
suitable for self-study.
is the
definitive textbook for students, researchers, and professionals
in search of critical analysis and modern implementations of the
most important algorithms in the field, and is also eminently
suitable for self-study.
