Image Processing in Java

Name: Image Processing in Java
Price: 5.74 USD
Availability: InStock
ISBN: 9780139745775

ISBN-10: 0139745777

ISBN-13: 9780139745775

Edition: 1st 1999

Authors: Douglas A. Lyon

List price: $49.99

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Image Processing in Java combines the most complete set of real-world Java-based image processing examples ever assembled in one book, with a sound theoretical foundation for image processing. This end-to-end "cookbook" delivers thoroughly-tested, platform-independent algorithms you can use to build Java-based software for virtually any research or product development project. Coverage includes restoration, compression, segmentation, transformation, representation and warping; displaying and filtering images; homogeneous point processing functions and classes; image streams, file readers and writers; and more. Lyon also demonstrates how to design CODECs and custom image formats. Practical…

Book details

List price: $49.99
Edition: 1st
Copyright year: 1999
Publisher: Prentice Hall PTR
Publication date: 3/12/1999
Binding: Mixed Media
Pages: 574
Size: 7.25" wide x 9.50" long x 1.00" tall
Weight: 1.936
Language: English



List of Figures and Tables


Acknowledgment


Foreword


Preface


Why Should I Care About Java?


Who Should Read This Book?


Why Not Use the Advanced Imaging Package?


This Is Not Just a Textbook


What Chapters Do I Need to Read?


How Can I Use the Web to Teach and Learn More Image Processing?



Introduction



What is This Book About?



What is Image Processing?



What is Java?



Why Do Image Processing in Java?



Who Should Read This Book?



What Will You Learn?



Event Processing and the AWT



The Frame Class



Interaction



The EventTester



Intercepting Menu Events



The ShortCutFrame



Petri Nets



BooLog



ExpandoLog



Class Summary



Class Usage



Summary



Suggested Projects



Displaying and Filtering Images



Image Representation



Scalar Numeric Data Types



Arrays in Java



Drawing in Java



The ImageFrame Class



Class Summary



Class Usage



The FilterFrame



Class Summary



Class Usage



Class Implementation



The GrabFrame Class



Class Summary



Class Usage



Class Implementation



SnellWlx Class and Test Patterns



Class Summary



Class Implementation



Homogeneous Point Processing



The Histogram Class



Class Summary



Class Usage



Homogeneous Point Processing Functions



Using the Pow Function



Using Linear Transforms



The Uniform Non-Adaptive Histogram Equalization



Maple and Exponential Non Adaptive Histogram Equalization



Adaptive Histogram Equalization



The Transform Table Class



Class Summary



Class Usage



The NegateFrame Class



Class Summary



Class Usage



Summary



Digital Image Processing Fundamentals



The Human Visual System



Overview of Image Processing



Digitizing a Signal



Image Digitization



Image Display



Input Streams



Getting a FileName



File Input Stream



The Ubyte Class



The StreamSniffer Class



Class Summary



Class Usage



Image File Readers and Writers



Getting a Filename and Writing a PPM File



Writing a Program That Writes a Program



Writing Lossless 24-Bit Color Image Files



Reading GZIP Compressed PPM Files



The SaveFrame Class



Class Summary



Class Usage



The OpenFrame Class



Class Summary



Class Usage



The Timer Class



Class Summary



Class Usage



Class Example: Loop Interchange



The ProgressFrame



Class Summary



Class Usage



The WriteGif



Class Summary



Class Usage



The WritePPM Class



The PPM



Class Summary



Class Example



Summary



Projects



Direct Convolution



The Mathematical Basis of Convolution



The Cyclic Convolution, Correctness and Speed



Generating Convolution Kernels - The Mat Class



Class Summary



Class Usage



Implementing Direct Convolution



Class Summary



Class Usage



Summary



Spatial Filters



Blurring



Median Filtering



High-Pass



The SpatialFilterFrame



Class Summary



Class Usage



Summary



Suggested Projects



Convolution-based Edge Detection



Laplace Filter



Roberts



Sobel and the Double Templates



Comparing Edge Detectors



Summary



Projects



EdgeFrame Class



Class Summary



Class Usage



Morphological Filtering



Set Theory



Erosion and Dilation



Opening and Closing



Outlining



Thinning and Skeletonization



Summary



Projects



The MorphFrame



Class Summary



Class Usage



Boundary Processing



Hough Transform



Simple Edge Tracing



Edge Detection



Summary



Projects



The BoundaryFrame



Class Summary



Class Usage



The MartelliFrame



Class Summary



Class Usage



Chromatic Light



Introduction to Color



Tristimulus



RGB and XYZ for Illuminant D65



Sub-Sampling



YIQ and NTSC Encoders



Linear Cut Color Reduction



The Median Cut Algorithm



Summary



Projects



The ColorHash Class



Class Summary



Class Usage



The ColorFrame



Class Summary



Class Usage



Warping



Translation



Scaling



Rotation



Shear



The AffineFrame



Applying the Transforms to an Image



Inferring a 3 Point Affine Mapping



Inferring a 4 Point Bilinear Map



Effects



Projects



Unitary Transforms



Introduction



The Discrete Fourier Transform



The Wavelet Transform



The Haar Basis



Implementing the Two-Dimensional Haar Lifting



Writing a Wavelet Encoded File



Summary



Projects