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Digital Image Processing is a third generation book that builds on two highly successful earlier editions and the authors' twenty years of academic and industrial experience in image processing. The book provides an introduction to basic concepts and methodologies for image processing and develops the foundation for further study in this diverse and rapidly evolving field. The topics covered range from enhancement and restoration to image encoding, segmentation, description, recognition, and interpretation. These topics are illustrated by numerous computer-processed images.
This manual serves as the comprehensive instructional guide for solving the complex mathematical and algorithmic problems presented in the third edition of Digital Image Processing. The authors, Rafael C. Gonzalez, Richard E. Woods, and Paul Wintz, leverage decades of combined academic and industrial expertise to provide step-by-step derivations and solutions. The text functions as a pedagogical bridge, ensuring that students and practitioners can verify their understanding of foundational image processing concepts through rigorous application.
What You Will Find
Experts and educators identify this manual as a standard companion for university-level courses in electrical engineering and computer science. Readers frequently note the technical density of the solutions, which provide the necessary clarity for mastering the underlying theory of the primary textbook.
Page Count:
144
Publication Date:
2007-01-01
Publisher:
TBS
ISBN-10:
0201569442
ISBN-13:
9780201569445
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