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Shape Analysis and Classification: Theory and Practice (Image Processing Series) 1st Edition

1 customer review
ISBN-13: 978-0849334931
ISBN-10: 0849334934
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Editorial Reviews


The authors of this book have done an admirable job of discussing the diverse approaches utilized in this area…clearly written and is a valuable resource for scientists interested in visual shape analysis.
-Journal of Mathematical Psychology

This book begins with the basic mathematical concepts and examines shape analysis, from image capture to pattern classification.
-IEEE Signal Processing, November 2001

It is presented as a self-contained introductory textbook… Therefore it is the intention of the authors to make the concepts covered in the book accessible to a broad range of readers… The way in which the book is written clearly illustrates the authors' enthusiasm is, in my opinion, beneficial to any prospective reader… The presence of numerous examples and clearly explained algorithms are definitely helpful… a good acquisition for any researcher in the field of shape and image analysis as a general reference of the subject… Overall, I recommend this book. It is easy to read and well laid out with many examples, diagrams and figures.
-Dr. Paul McDonnell, Department of Statistics, University of Leeds in British Machine Vision Association Newsletter

From the Author

There has been considerable research in computer science directed on the problems associated with detecting, analyzing, and categorizing visual shape information. The authors of this book have done an admirable job of discussing the diverse approaches utilized in this area. They also provide a 170-page chapter (chapter 2) that covers a vast range of useful mathematical concepts in shape analysis (e.g., propositional logic, linear algebra, differential geometry, convolution and correlation, probability theory, and Fourier analysis). Chapter 3 deals with digital image processing. Chapter 4 covers the main concepts in 2D shape analysis, and in Chapter 5 the authors consider computer representations of shape information. Chapters 6 and 7 are focused on techniques of shape characterization. In Chapter 8 the authors cover the major methods for classifying and recognizing shapes. This comprehensive book is clearly written and is a valuable resource for scientists interested in visual shape analysis.

Roberto Marcondes Caesar Junior


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Product Details

  • Series: Image Processing Series (Book 10)
  • Hardcover: 680 pages
  • Publisher: CRC Press; 1 edition (December 20, 2000)
  • Language: English
  • ISBN-10: 0849334934
  • ISBN-13: 978-0849334931
  • Product Dimensions: 6.1 x 1.5 x 9.2 inches
  • Shipping Weight: 2.8 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #4,113,474 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

6 of 7 people found the following review helpful By A Customer on January 5, 2002
Format: Hardcover
The book is mostly discussed about shape representation that used for image processing or computer vision. It has good explanation regarding basic mathematical concepts with very simple numerical example for each concept. The explanation about image descriptors is clear for self study. The book however is not recommended for people who has knowledge already about the basic image processing and computer vision because not so much new things can be found in this book that are not explained in other similar books.
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