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Digital Image Processing: An Algorithmic Approach with MATLAB
Contributor(s): Qidwai, Uvais (Author), Chen, C. H. (Author)
ISBN: 1420079506     ISBN-13: 9781420079500
Publisher: CRC Press
OUR PRICE:   $237.50  
Product Type: Hardcover - Other Formats
Published: November 2009
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation:

This text focuses on theory algorithms and MATLAB(R) implementation. Each chapter presents theoretical background with extensive mathematical treatment as well as algorithmic structures and data manipulation that emphasize matrix and linear algebra-based architecture and system design. The chapters also include MATLAB exercises and sample programs to help readers who lack a sound background in engineering and mathematics. The authors also provide actual classroom-based summaries that are designed to be used as lecture notes. The accompanying CD-ROM and supplementary website features MATLAB programs, PowerPoint presentations, and lecture material for instructors.

Additional Information
BISAC Categories:
- Computers | Computer Graphics
- Technology & Engineering | Imaging Systems
- Computers | Programming - Games
Dewey: 006.6
LCCN: 2009032785
Series: Chapman & Hall/CRC Textbooks in Computing
Physical Information: 0.8" H x 6.2" W x 9.3" (1.30 lbs) 314 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB(R) presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB(R), without bogging down students with syntactical and debugging issues.

One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.

This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author's website.