Digital image processing: an algorithmic approach with matlab

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.

Table of Contents

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