Digital Image Processing Using MATLAB

by Ralph Gonzalez, Richard Woods and Steven Eddins

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ISBN

:

9780070702622
Publisher

:

Tata Mcgraw Hill Education Private Limited
Subject

:

Computer Programming / Software Development
Binding

:

Paperback
Pages

:

738
Year

:

2010

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~~1260.0~~

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1260.0

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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 all fundamental concepts of DIP and the Image Processing Toolbox from The Math Works, 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 of the book is its emphasis on showing how to enhance those tools by developing new code. Key Features Over 100 new MATLAB image processing functions are developed a 40 % increase over existing functions in the Image Processing Toolbox. Algorithms and MATLAB functions in the mainstream of digital image processing are discussed and implemented. Includes new topical coverage on: The Radon transform; image processing functions based on 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. Using C code with MATLAB is covered in detail. Table of Content 1. Introduction 2. Intensity Transformations and Spatial Filtering 3. Filtering in the Frequency Domain 4. Image Restoration and Reconstruction 5. Geometric Transformations and Image Registration 6. Color Image Processing 7. Wavelets 8. Image Compression 9. Morphological Image Processing 10. Image Segmentation 11. Representation and Description Appendix A: M-Function Summary Appendix B: ICE and MATLAB Graphical User Interfaces Appendix C: Additional Custom M-functions

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