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Machine Vision

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25 November 2010

At a Glance

No. of Pages
452

Dimensions(cm)
24.7 x 19.0 x 2.5

RRP $111.95

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This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used in the book can be found at www.cambridge.org/9780521830461. A useful reference for practitioners, the book is aimed at graduate students in electrical engineering, computer science and mathematics.

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You Can Find This Book In

Non-Fiction Computing & I.T.Graphical & Digital Media Applications Computer Science Artificial Intelligence Computer Vision Engineering & Technology Electronics & Communications Engineering Electronics Engineering Energy Technology & Engineering Electrical Engineering Image Processing

Technology in General Maths for Engineers Science Science in General Maths for Scientists

Introduction
Review of mathematical principles
Writing programs to process images
Images: description and characterization
Linear operators and kernels
Image relaxation: restoration and feature extraction
Mathematical morphology
Segmentation
Shape
Consistent labeling
Parametric transform
Graphs and graph-theoretic concepts
Image matching
Statistical pattern recognition
Clustering
Syntactic pattern recognition
Applications
Automatic target recognition
Table of Contents provided by Publisher. All Rights Reserved.

Machine Vision

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