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Digital Image Processing Using
MATLAB is the first book to offer a balanced treatment of image
processing fundamentals and the software principles used in their
implementation. The book integrates material from the 4th edition of
Digital Image Processing by Gonzalez and Woods, the leading textbook
in the field, and the Image Processing Toolbox from MathWorks,
a leader in Scientific Computing. The Image Processing Toolbox provides a
stable, well-supported software environment for addressing a broad range of
applications in digital image processing. A unique feature of the book is
its emphasis on showing how to enhance these tools by developing new code.
This is important in image processing, a field that generally requires
extensive experimental work in order to arrive at suitable application
Highlights of the Third Edition
This new edition is an extensive upgrade of the book.
The mathematical notation is compatible with Digital Image
Processing, 4th ed.
The book is self-contained and written in textbook format, not as a
Over 200 new image processing and deep learning functions are developed, increasing the scope of
the Image Processing Toolbox by close to 40%.
New to this edition are 130 Projects related to the material covered in
the text. These projects enhance the usefulness of the book in formal
New also is the DIPUM3E Support Package that contains selected project
solutions, the code for all functions developed in the book, and
original the digital
images used in the book.
In addition to revisions of the topics from the second edition, this
edition includes extensive new coverage of
spectral color models, geometric transformations,
graph cuts, active
contours (snakes and
level sets), maximally-stable
extremal regions, SURF and other
An entire chapter is devoted to deep learning,
and convolutional neural networks.
As before, this book website is the central point for obtaining support
materials that include the DIPUM3E Support Package, tutorials,
additional image databases, and other complementary materials relevant
to digital image processing. Extensive faculty support is also an
important feature of the website.
here to see
sample materials from DIPUM3E.
Difference Between DIP4E and DIPUM3E
The principal difference between the books
Digital Image Processing
and Digital Image Processing Using MATLAB is that the
former emphasizes the mathematical principles of the field, while the
latter focuses less on math and more on algorithms and their software