Digital Image Processing 3rd Edition by Rafael C. Gonzalez and Richard E. Woods offers complete introduction to basic ideas and methodologies for digital image processing continues its reducing-edge concentrate on modern developments in all mainstream areas of picture processing. Utterly self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that's not limited to the solution of specialized problems.
It's a main revision and is based on probably the most intensive survey the authors have ever conducted. The survey involved school, college students, and independent readers of the book in 134 institutions from 32 countries. The results have prompted the next new and reorganized material. Expanded homework units are presented, including over eighty new issues, new examples and illustrations involving over 400 new images and greater than 200 new drawings and tables.
Companion net site has been redesigned and upgraded to correspond to this new edition. There's revision of introductory ideas that provides readers with basis material within the book than before. This book gives revised and up to date discussion of intensity transformation, spatial correlation, convolution, and their software to spatial filtering.
New discussion of fuzzy sets and their software to picture processing is offered with new chapter on the discrete Fourier remodel and frequency area processing, new coverage of computerized tomography, further examples dealing with wavelets and new chapter on knowledge compression, together with new compression strategies, digital video compression, standards, and watermarking.
New coverage of morphological reconstruction, grey-scale morphology, and superior morphological algorithms can also be described with new coverage of the Marr-Hildreth and Canny edge detection algorithms. Accessible mathematical complexity ensures understanding by college students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, and rudimentary computer programming.
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