Skip to content

Practical Algorithms for Image Analysis with CD-ROM

ISBN-10: 052188411X

ISBN-13: 9780521884112

Edition: 2nd 2007

Authors: Lawrence O'Gorman, Michael J. Sammon, Michael Seul

List price: $88.00
Shipping box This item qualifies for FREE shipping.
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

In classic "cookbook style," this book offers guided access for researchers and practitioners to techniques for the digital manipulation and analysis of images, ranging from the simplest steps to advanced functions. Drawing on their long experience as users and developers of image analysis algorithms and software, the authors present a description and implementation of the most suitable procedures in easy-to-use form. Each self-contained section treats a single operation, describing typical situations requiring that operation and discussing the algorithm and implementation. Sections start with a "before" and "after" pictorial example and a ready-reference listing typical applications, keywords, and related procedures. This new edition has additional sections on Gabor filtering and on threshholding by connectivity, plus an expanded program listing and suggested projects for classroom use. And now the accompanying CD-ROM contains C programs not only as source code for carrying out the book's procedures but also as executables with a graphical user interface for Windows and Linux.
Customers also bought

Book details

List price: $88.00
Edition: 2nd
Copyright year: 2007
Publisher: Cambridge University Press
Publication date: 1/21/2008
Binding: Mixed Media
Pages: 360
Size: 7.00" wide x 10.00" long x 0.50" tall
Weight: 1.738
Language: English

Introduction
Introduction
Annotated Section Overview
A Guided Tour
Global Image Analysis
Intensity Histogram: Global Features
Histogram Transformations: Global Enhancement
Combining Images
Geometric Image Transformations
Color Image Transformations
Gray-Scale Image Analysis
Local Image Operations: Convolution
Noise Reduction
Edge Enhancement and Flat Fielding
Edge and Peak Point Detection
Advanced Edge Detection
Subsampling
Multiresolution Analysis
Template Matching
Gabor Wavelet Analysis
Binarization
Binary Image Analysis
Morphological and Cellular Processing
Binary Noise Removal
Region Detection
Shape Analysis: Geometrical Features and Moments
Advanced Shape Analysis: Fourier Descriptors
Convex Hull of Polygons
Thinning
Linewidth Determination
Global Features and Image Profiles
Hough Transform
Analysis of Lines and Line Patterns
Chain Coding
Line Features and Noise Reduction
Polygonalization
Critical Point Detection
Straight-Line Fitting
Cubic Spline Fitting
Morphology and Topology of Line Patterns
Analysis of Point Patterns
The Voronoi Diagram of Point Patterns
Spatial Statistics of Point Patterns: Distribution Functions
Topology and Geometry of Cellular Patterns
The k-Nearest-Neighbor (k-NN) Problem
Frequency Domain Analysis
The 2D Discrete Fourier Transform
Frequency Domain Filtering
Program Descriptions
Introduction
Programs by Chapter
Alphabetical Listing of Programs
Projects
Synopsis of Important Concepts
The Fourier Transform: Spatial Domain Versus Frequency Domain
Linear Systems: Impulse Response, Convolution, and Transfer Function
Special-Purpose Filters
The Whittaker-Shannon Sampling Theorem
Commonly Used Data Structures
Index