|
DIGITAL IMAGE PROCESSING USING MATLAB is the first book that provides a
balanced treatment of image processing fundamentals and the software principles
used in their practical implementation. The book integrates material from the
leading text, Digital Image Processing by Gonzalez and Woods, and the
Image Processing Toolbox of The MathWorks, Inc., a recognized leader in
scientific computing. The Image Processing Toolbox provides a stable,
well-supported set of software tools for addressing a broad range of
applications in digital image processing. A unique feature of this book is its
emphasis on showing how to enhance those tools by the development of new code.
This is important in image processing, where there is a need for extensive
experimental work in order to arrive at acceptable problem solutions.
After an
introduction to the fundamentals of MATLAB programming, the book addresses
software implementation of algorithms in the
mainstream areas of image processing. Areas covered include intensity
transformations, linear and nonlinear spatial filtering, filtering in the
frequency domain, image restoration and registration, color image processing,
wavelets, image data compression, morphological image processing, image
segmentation, regions and boundary representation and description, and object
recognition.
Partial list of institutions
that use the book.
HIGHLIGHTS
-
The book is self-contained.
-
Over 70 new image processing functions are developeda 35% increase over the
comprehensive set of functions in the MATLAB Image Processing Toolbox.
-
A fully documented listing of every new function developed is included in the
book.
-
Using C code with MATLAB is covered in detail.
-
There are 114 examples, over 400 images, and over 150 graphs and line drawings
that enhance the discussion of the material.
-
All MATLAB, Image Processing Toolbox, and new functions used in the book, are
conveniently summarized in an appendix.
-
The design of graphical user interfaces (GUIs) is covered in detail.
|