Digital image processing and analysis. Computer vision and image analysis / (2022)
- Record Type:
- Book
- Title:
- Digital image processing and analysis. Computer vision and image analysis / (2022)
- Main Title:
- Digital image processing and analysis.
- Other Titles:
- Computer vision and image analysis
- Further Information:
- Note: Scott E. Umbaugh.
- Authors:
- Umbaugh, Scott E
- Contents:
- Chapter 1: Digital Image Processing and Analysis 1.1 Introduction 1.2 Image Analysis and Computer Vision Overview 1.3 Digital Imaging Systems 1.4 Image Formation and Sensing 1.5 Image Representation 1.6 Key Points 1.7 References and Further Reading 1.8 Exercises Chapter 2: Computer Vision Development Tools 2.1 Introduction and Overview 2.2 CVIPtools Windows GUI 2.3 CVIPlab for C/C++ Programming 2.4 The Matlab CVIP Toolbox 2.5 References and Further Reading 2.6 Introductory Programming Exercises 2.7 Computer Vision and Image Analysis Projects CHAPTER 3: Image Analysis and Computer Vision 3.1 Introduction 3.2 Preprocessing 3.3 Binary Image Analysis 3.4 Key Points 3.5 References and Further Reading 3.6 Exercises 3.7 Supplementary Exercises Chapter 4: Edge, Line and Shape Detection 4.1 Introduction and Overview 4.2 Edge Detection 4.3 Line Detection 4.4 Corner and Shape Detection 4.5 Key Points 4.6 References and Further Reading 4.7 Exercises 4.8 Supplementary Exercises Chapter 5: Segmentation 5.1 Introduction and Overview 5.2 Region Growing and Shrinking 5.3 Clustering Techniques 5.4 Boundary Detection 5.5 Deep Learning Segmentation Methods 5.6 Combined Segmentation Approaches 5.7 Morphological Filtering Chapter 6: Feature Extraction and Analysis 6.1 Introduction and Overview 6.2 Shape Features 6.3 Histogram Features 6.4 Color Features 6.5 Fourier Transform and Spectral Features 6.6 Texture Features 6.7 Region Based Features: SIFT/SURF/GIST 6.8 Feature Extraction withChapter 1: Digital Image Processing and Analysis 1.1 Introduction 1.2 Image Analysis and Computer Vision Overview 1.3 Digital Imaging Systems 1.4 Image Formation and Sensing 1.5 Image Representation 1.6 Key Points 1.7 References and Further Reading 1.8 Exercises Chapter 2: Computer Vision Development Tools 2.1 Introduction and Overview 2.2 CVIPtools Windows GUI 2.3 CVIPlab for C/C++ Programming 2.4 The Matlab CVIP Toolbox 2.5 References and Further Reading 2.6 Introductory Programming Exercises 2.7 Computer Vision and Image Analysis Projects CHAPTER 3: Image Analysis and Computer Vision 3.1 Introduction 3.2 Preprocessing 3.3 Binary Image Analysis 3.4 Key Points 3.5 References and Further Reading 3.6 Exercises 3.7 Supplementary Exercises Chapter 4: Edge, Line and Shape Detection 4.1 Introduction and Overview 4.2 Edge Detection 4.3 Line Detection 4.4 Corner and Shape Detection 4.5 Key Points 4.6 References and Further Reading 4.7 Exercises 4.8 Supplementary Exercises Chapter 5: Segmentation 5.1 Introduction and Overview 5.2 Region Growing and Shrinking 5.3 Clustering Techniques 5.4 Boundary Detection 5.5 Deep Learning Segmentation Methods 5.6 Combined Segmentation Approaches 5.7 Morphological Filtering Chapter 6: Feature Extraction and Analysis 6.1 Introduction and Overview 6.2 Shape Features 6.3 Histogram Features 6.4 Color Features 6.5 Fourier Transform and Spectral Features 6.6 Texture Features 6.7 Region Based Features: SIFT/SURF/GIST 6.8 Feature Extraction with CVIPtools 6.9 Feature Analysis 6.10 Key Points 6.11 References and Further Reading 6.12 Exercises 6.13 Supplementary Exercises Chapter 7: Pattern Classification 7.1 Introduction 7.2 Algorithm Development: Training and Testing Methods 7.3 Nearest Neighbor (NN), K-NN, Nearest Centroid, Template Matching 7.4 Bayesian, Support Vector Machines, Random Forest Classifiers 7.5 Neural Networks and Deep Learning 7.6 Cost/Risk Functions and Success Measures 7.7 Pattern Classification Tools: Python, R, Matlab, CVIPtools 7.8 Key Points 7.9 References and Further Reading 7.10 Exercises 7.11 Supplementary Exercises Chapter 8: Application Development Tools 8.1 Introduction and Overview 8.2 CVIP Algorithm Test and Analysis Tool 8.3 CVIP-ATAT: Application Development Necrotic Liver Tissue 8.4 CVIP-ATAT: Application Development with Fundus Images 8.5 CVIP-ATAT: Automatic Mask Creation of Gait Images 8.6 CVIP Feature Extraction and Pattern Classification Tool 8.7 CVIP-FEPC: Application Development with Thermograms 8.8 CVIP-FEPC: Identification of Bone Cancer in Canine Thermograms 8.9 Matlab CVIP Toolbox GUI: Detection of syrinx in canines with Chiari malformation via Thermograms … (more)
- Edition:
- Fourth edition
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2022
- Extent:
- 1 online resource
- Subjects:
- 006.42
Image processing -- Digital techniques
Image analysis
Computer vision - Languages:
- English
- ISBNs:
- 9781000788549
9781000788518 - Related ISBNs:
- 9781032071299
- Notes:
- Note: Description based on CIP data; resource not viewed.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.737648
- Ingest File:
- 15_017.xml