Over the past 20 to 25 years, pattern recognition has become an important part of image processing applications where the input data is an image. This book is a complete introduction to pattern recognition and its increasing role in image processing. It covers the traditional issues of pattern recognition and also introduces two of the fastest growing areas: Image Processing and Artificial Neural Networks. Examples and digital images illustrate the techniques, while an appendix describes pattern recognition using the SAS statistical software system.
FREE Two-Day Shipping for Students. Learn more |
Book Description
Editorial Reviews
From the Publisher
Pattern Recognition is concerned with the classification of objects into categories, especially by machine. Over the past 20 to 25 years, pattern recognition has become an important part of image processing applications. This book is a complete introduction to pattern recognition that introduces it's increasing role in image processing.
From the Back Cover
Pattern recognition is at the heart of applications ranging from the identification of white blood cells to the selection of tax returns for auditing, from earthquake prediction to speech recognition. Pattern Recognition and Image Analysis is an ideal introduction to pattern recognition for both higher-level undergraduate and beginning graduate courses.
The book relies extensively on worked examples and realistic applications that have been thoroughly classroom-tested. Since images are often the input to pattern recognition systems, a survey of image processing theory is included, covering techniques such as scene segmentation, Hough transforms, least squares, Eigenvector line fitting, and Fourier transforms. These important aspects of pattern recognition are also presented:
*Probability theory
*Statistical decision making, including Bayes' Theorem
*Nonparametric decision making, including histograms
*Hierarchical and partitional clustering: the advantages and risks
*Artificial neural networks—and how they work in real applications, such as classifying sex from facial images
Readers do not need computer science expertise, or a mathematics background beyond elementary calculus.
Pattern Recognition and Image Analysis includes a disk with sample digital images and data files, SAS programs, and C program implementations of several major algorithms discussed in the book.
The book relies extensively on worked examples and realistic applications that have been thoroughly classroom-tested. Since images are often the input to pattern recognition systems, a survey of image processing theory is included, covering techniques such as scene segmentation, Hough transforms, least squares, Eigenvector line fitting, and Fourier transforms. These important aspects of pattern recognition are also presented:
*Probability theory
*Statistical decision making, including Bayes' Theorem
*Nonparametric decision making, including histograms
*Hierarchical and partitional clustering: the advantages and risks
*Artificial neural networks—and how they work in real applications, such as classifying sex from facial images
Readers do not need computer science expertise, or a mathematics background beyond elementary calculus.
Pattern Recognition and Image Analysis includes a disk with sample digital images and data files, SAS programs, and C program implementations of several major algorithms discussed in the book.
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
1 of 2 people found the following review helpful:
5.0 out of 5 stars
book de supremo but...,
By
This review is from: Pattern Recognition and Image Analysis (Hardcover)
i am a junior lecturer (started in dec, 2005). one of the main aspects that attract me regarding a book, besides its content, is its supplementary material (lecture slides, quizzes&solutions, manuals and so on).
so, apart from the fact that i cant find any supplementary material, the book's content is SUPERB. above superb there's only one rating and that's THE BEST (according to me). difference between a high 5 star and a low one. this book would have achieved that, given that some supplementary material is provided on the web (only 2 other books in my whole life have i been able to rate as THE BEST). all in all, SUPERB for beginners and junior/senior undergraduate students.
0 of 1 people found the following review helpful:
4.0 out of 5 stars
Satisfied,
Amazon Verified Purchase(What's this?)
This review is from: Pattern Recognition and Image Analysis (Hardcover)
I'm satisfied with fast delivery. The book itself is good although it looks a little old.
Share your thoughts with other customers: Create your own review
|
|
Tags Customers Associate with This Product(What's this?)Click on a tag to find related items, discussions, and people.
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
So You'd Like to...
Look for Similar Items by Category
- Books > Computers & Technology > Computer Science > Artificial Intelligence > Neural Networks
- Books > Computers & Technology > Graphic Design
- Books > Computers & Technology > Programming > Algorithms > Digital Image Processing
- Books > New & Used Textbooks > Computer Science
- Books > New & Used Textbooks > Engineering > Electrical & Electronic Engineering
- Books > Professional & Technical > Engineering
