binary digital image processing discrete approach ebook free download

E-Book Details:

Title:
Binary digital image processing: a discrete approach
Publisher:
Academic Press
Author:
Stéphane Marchand-Maillet, Yazid M. Sharaiha
Edition:
2nd, illustrated 2000
Format:
PDF
ISBN:
0124705057
EAN:
9780124705050
No.ofPages:
251
Book Description:
This book is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing.
The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression).
ABOUT THE AUTHOR:
Stéphane Marchand-Maillet is affiliated with the Department of Multimedia Communications at Institut Eurecom, Sophia-Antipolis, France - a consortium between academic and industrial partners.
Yazid M. Sharaiha received his B.Sc. (Eng) and PhD (1991)from Imperial College, London. He also holds Master degrees in Engineering (1987) and Management Science (1988) from University of California, Berkeley and Imperial College respectively. He was a University Lecturer in Information Management at Imperial College from 1991 to 1997. He is currently a visiting fellow at Imperial College and working in Quantitative Strategies at Morgan Stanley Dean Witter. His research publications and interests include combinatorial optimisation, graph theory, computational geometry, and their applications in image analysis, scheduling and financial modeling.
FEATURES:
* outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processing
* addresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithms
* includes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under study
* includes some practical applications of this work by reviewing some common applications
* covers a range of topics, organised by theoretical field rather than being driven by problem definitions
Table of Contents:
UNIT I
Digital image fundamentals - Digital Image through scanner, digital camera. Concept of gray levels. Gray level to binary image conversion. Sampling and quantization. Relation ship between pixels. Imaging Geometry.
UNIT II
Image Transforms 2-D FFT , Properties. Walsh transform, Hadamard Transform, Discrete cosine Transform,
Haar transform, Slant transform, Hotelling transform.
UNIT III
Image enhancement Point processing. Histogram processing. Spatial filtering.
UNIT IV
Enhancement in frequency domain, Image smoothing, Image sharpening.
UNIT V
Colour image processing : Psedo colour image processing, full colour image processing.
UNIT VI
Image Restoration Degradation model, Algebraic approach to restoration, Inverse filtering, Least mean square filters, Constrained Least Squares Restoration, Interactive Restoration.
UNIT VII
Image segmentation Detection of discontinuities. Edge linking and boundary detection, Thresholding, Region oriented segmentation.
UNIT VIII
Image compression Redundancies and their removal methods, Fidelity criteria, Image compression models,
Source encoder and decoder, Error free compression, Lossy compression.
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