Qidwai / Chen Digital Image Processing

An Algorithmic Approach with MATLAB
1. Auflage 2011
ISBN: 978-1-4200-7951-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 314 Seiten

Reihe: Chapman & Hall/CRC Textbooks in Computing

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB®, without bogging down students with syntactical and debugging issues.
One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.

This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website.

Zielgruppe

Advanced undergraduate and graduate students in digital image processing courses; researchers in medical and industrial imaging; computer scientists and computer engineers.

Autoren/Hrsg.

Qidwai, Uvais

Chen, C.H.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning

Inhaltsverzeichnis

Introduction to Image Processing and the MATLAB Environment
Introduction

Digital Image Definitions: Theoretical Account

Image Properties

MATLAB

Algorithmic Account

MATLAB Code
Image Acquisition, Types, and File I/O
Image Acquisition

Image Types and File I/O

Basics of Color Images

Other Color Spaces

Algorithmic Account

MATLAB Code
Image Arithmetic
Introduction

Operator Basics

Theoretical Treatment
Algorithmic Treatment

Coding Examples
Affine and Logical Operations, Distortions, and Noise in Images
Introduction

Affine Operations

Logical Operators

Noise in Images

Distortions in Images
Algorithmic Account

MATLAB Code
Image Transforms
Introduction

Discrete Fourier Transform (DFT) in 2D

Wavelet Transforms

Hough Transform

Algorithmic Account

MATLAB Code
Spatial and Frequency Domain Filter Design
Introduction

Spatial Domain Filter Design
Frequency-Based Filter Design

Algorithmic Account
MATLAB Code
Image Restoration and Blind Deconvolution
Introduction
Image Representation

Deconvolution

Algorithmic Account
MATLAB Code
Image Compression
Introduction

Image Compression–Decompression Steps

Classifying Image Data

Bit Allocation

Quantization
Entropy Coding

JPEG Compression

Algorithmic Account
MATLAB Code
Edge Detection
Introduction

The Sobel Operator

The Prewitt Operator

The Canny Operator

The Compass Operator (Edge Template Matching)

The Zero-Crossing Detector

Line Detection

The Unsharp Filter

Algorithmic Account

MATLAB Code
Binary Image Processing
Introduction

Dilation

Erosion

Opening

Closing

Thinning

Thickening

Skeletonization/Medial Axis Transform
Algorithmic Account

MATLAB Code
Image Encryption and Watermarking
Introduction

Watermarking Methodology

Basic Principle of Watermarking

Problems Associated with Watermarking
Algorithmic Account

MATLAB Code
Image Classification and Segmentation
Introduction

General Idea of Classification

Common Intensity-Connected Pixel: Naïve Classifier

Nearest Neighbor Classifier

Unsupervised Classification
Algorithmic Account

MATLAB Code
Image-Based Object Tracking
Introduction

Methodologies

Background Subtraction

Temporal Difference between Frames

Correlation-Based Tracking

Color-Based Tracking
Algorithmic Account

MATLAB Code
Face Recognition
Introduction

Face Recognition Approaches
Vector Representation of Images

Process Details

Algorithmic Account

MATLAB Code
Soft Computing in Image Processing
Introduction

Fuzzy Logic in Image Processing
Algorithmic Account

MATLAB Code
Bibliography
Glossary
Index
A Summary and Exercises appear at the end of each chapter.

Über Autor(innen)

Uvais Qidwai is an assistant professor in the computer science and engineering department at Qatar University in Doha.
C.H. Chen is chancellor professor in electrical and computer engineering at the University of Massachusetts in North Dartmouth.