Course on Digital Image Processing with MATLAB®

Description

Describes the principles and techniques of image processing using MATLAB. Every chapter is accompanied by a collection of exercises and programming assignments. The book is augmented with supplementary MATLAB codeand hints and solutions to problems are also provided. PRELIMS.pdf Preface Acknowledgments Author biography P K Thiruvikraman CH001.pdf Chapter 1 Introduction 1.1 The scope and importance of digital image processing 1.2 Images 1.3 Digital images 1.4 Processes involved in image processing and recognition 1.5 Applications of image processing Exercises CH002.pdf Chapter 2 Image enhancement in the spatial domain 2.1 Enhancement of contrast 2.2 Gray level transformations 2.2.1 Thresholding 2.2.2 Power law, log, and exp transformations 2.2.3 Piecewise linear transformations 2.2.4 Gray level slicing 2.3 Bit plane slicing 2.4 Histogram processing 2.4.1 Histogram equalization 2.4.2 Histogram specification 2.5 Filtering in the spatial domain 2.5.1 Averaging 2.5.2 Median filter 2.6 Sharpening in the spatial domain Exercises: CH003.pdf Chapter 3 Filtering in the Fourier domain 3.1 From the Fourier series to the Fourier transform 3.2 Meaning of the Fourier transform 3.3 The impulse function 3.4 Fourier transform of a train of impulses 3.5 The convolution theorem 3.6 The discrete Fourier transform (DFT) 3.7 Additional properties of the DFT 3.8 Filtering in the Fourier domain 3.9 Low-pass filters 3.10 Other low-pass filters 3.11 High-pass filters 3.12 The FFT 3.13 Comparison of the FFT with convolution Exercises CH004.pdf Chapter 4 Image compression 4.1 Basics of image compression 4.2 Basics of coding theory 4.3 Uniquely decodable codes (UDCs), instantaneously decodable codes (IDCs), and all that 4.4 Kraft’s inequality 4.5 Efficiency of instantaneous codes 4.6 Information theory 4.7 Huffman coding: algorithm 4.8 Huffman coding: implementation 4.9 Nearly optimal codes 4.9.1 B code 4.9.2 Shift codes 4.9.3 Shannon–Elias–Fano coding 4.10 Reducing interpixel redundancy: run-length coding 4.10.1 Other methods for reducing interpixel redundancy 4.11 LZW coding 4.12 Arithmetic coding 4.13 Transform coding Exercises CH005.pdf Chapter 5 Image analysis and object recognition 5.1 Image analysis 5.2 Detection of points and lines 5.3 The Hough transform 5.4 Segmentation: edge detection 5.4.1 The Marr–Hildreth edge detection algorithm 5.4.2 The Canny edge detector 5.5 Thresholding 5.6 A global view of image analysis and pattern recognition 5.7 Representation of objects 5.7.1 Chain codes 5.7.2 Signatures 5.7.3 Statistical moments 5.7.4 Regional descriptors 5.8 Texture 5.9 Skeletonization or medial axis transformation (MAT) 5.10 Principal component analysis (PCA) 5.10.1 PCA for color images 5.10.2 Image reconstruction from principal components 5.10.3 Application of PCA for optical character recognition (OCR) 5.11 Pattern recognition CH006.pdf Chapter 6 Image restoration 6.1 Analyzing motion blur 6.2 Inverse filtering 6.3 Noise 6.4 Removal of noise by morphological operations 6.4.1 Erosion 6.4.2 Dilation 6.4.3 Opening and closing 6.5 Alternative method for extracting and labeling connected components 6.6 Image reconstruction from projections 6.6.1 CT scan 6.6.2 The Radon transform 6.6.3 The Fourier slice theorem Exercises CH007.pdf Chapter 7 Wavelets 7.1 Wavelets versus the Fourier transform 7.2 The Haar wavelet transform 7.3 An alternative view of wavelets Exercises CH008.pdf Chapter 8 Color image processing 8.1 The RGB color model 8.2 The CMY and CMYK color models 8.3 The hue, saturation, and intensity (HSI) color model Exercises CH009.pdf Chapter 9 Introduction to MATLAB® 9.1 Introduction 9.2 Help with MATLAB® 9.3 Variables 9.4 Mathematical operations 9.5 Loops and control statements 9.6 Built-in MATLAB® functions 9.7 Some more useful MATLAB® commands and programming practices 9.8 Functions CH010.pdf Chapter 10 The image processing toolbox 10.1 Introduction 10.2 Reading from an image file and writing to an image file 10.3 Fourier domain processing 10.4 Calculation of entropy 10.5 Huffman code 10.6 Arithmetic code 10.7 Segmentation 10.8 Hough transform 10.9 Some common error messages in MATLAB® Exercises CH011.pdf Chapter 11 Video processing 11.1 Introduction 11.2 Extracting frames from a video 11.3 Video compression 11.4 Detection and analysis of motion: optical flows CH012.pdf Chapter 12 Solutions to selected exercises Solutions to Chapter 1 exercises Solutions to Chapter 2 exercises Solutions to Chapter 3 exercises Solutions to Chapter 4 exercises Solutions to Chapter 5 exercises Solutions to Chapter 6 exercises Solutions to Chapter 7 exercises