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Digital Image     Processing 3/e

Digital Image  Processing Using MATLAB

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Digital Image  Processing 2/e

 

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Digital Image Processing, 2nd ed.

 

 

About the Book

Basic Information

  • ISBN number 0201180758.

  • Publisher: Prentice Hall

  • 12 chapters.

  • 793 pages.

  • © 2002.

DIGITAL IMAGE PROCESSING has been the world-wide leading textbook in its field for more than 30 years. As the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992 edition by Gonzalez and Woods, the present edition was prepared with students and instructors in mind. The material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including a totally revised introduction and discussion of image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, and image description. Coverage concludes with a discussion on the fundamentals of object recognition.

Although the book is completely self-contained, this companion web site provides additional support in the form of review material, answers to selected problems, laboratory project suggestions, and a score of other features. A supplementary instructor's manual is available to instructors who have adopted the book for classroom use.

Partial list of institutions that use the book.

NEW FEATURES

  • New chapters on wavelets, image morphology, and color image processing.

  • A revision and update of all chapters, including topics such as segmentation by watersheds.

  • More than 500 new images and over 200 new line drawings and tables.

  • A reorganization that allows the reader to get to the material on actual image processing much sooner than before.

  • A more intuitive development of traditional topics such as image transforms and image restoration.

  • Numerous new examples with processed images of higher resolution.

  • Updated image compression standards and a new section on compression using wavelets.

  • Updated bibliography.