Digital Image Processing Using MATLAB
Pearson Prentice Hall, 2004 - Computers - 609 pages
"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 hook 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 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. "Some Highlights"
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LibraryThing ReviewUser Review - co_coyote - LibraryThing
This is *the* best book on digital image processing I have ever read. It is the only book of its kind that I have ever read like a novel, spending one entire Christmas holiday curled up on the couch ... Read full review
For people used to Matlab, this is the best book for learning Image Processing.
If something is not very clear in the equations, just take a look at the provided Matlab code.