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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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