Digital Image Processing Using MATLAB (2nd Edition)

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Rafael C. González, Richard Richard Eugene Woods, Steven L. Eddins - Digital Image Processing Using MATLAB (2nd edition)
Published: 2009 | ISBN: 0982085400 | PDF | 827 pages | 34 MB


Digital Image Processing Using MATLAB may be the first book to offer a balanced management of image processing fundamentals and also the software principles found in their implementation. The book integrates material in the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox from The MathWorks, Inc., 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 in the book is its emphasis on showing the best way to enhance those tools by developing new code. This is important in image processing, an area that normally requires extensive experimental be employed in order to get to acceptable application solutions. Some Highlights: (1) This new edition is an extensive upgrade from the book. (2) Over 120 new MATLAB image processing functions are developed, a 40 % increase over existing functions in the Image Processing Toolbox. (3) Algorithms and MATLAB functions inside mainstream of digital image processing are discussed and implemented, including: Intensity transformations; spatial filtering; fuzzy image processing; filtering inside frequency domain; image restoration and reconstruction; geometric transformations and image registration; color image processing; wavelets; image and video compression; morphology; image segmentation; image representation and description; and object recognition. (4) In addition to a major revision in the topics in the first edition, features within this edition include new coverage of: The Radon transform; image processing functions according to function-generating functions (function factories); geometric transformations; image registration; color profiles and device-independent color conversions; functions for video compression; adaptive thresholding algorithms; new image features, including minimum-perimeter polygons and local (corner) features.



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