Cargando…

MACHINE VISION INSPECTION SYSTEMS image processing, concepts.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [S.l.] : JOHN WILEY & SONS, 2020.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Land-Use Classification with Integrated Data
  • 1.1 Introduction
  • 1.2 Background Study
  • 1.2.1 Overview of Land-Use and Land-Cover Information
  • 1.2.2 Geographical Information Systems
  • 1.2.3 GIS-Related Data Types
  • 1.2.3.1 Point Data Sets
  • 1.2.3.2 Aerial Data Sets
  • 1.2.4 Related Studies
  • 1.3 System Design
  • 1.4 Implementation Details
  • 1.4.1 Materials
  • 1.4.2 Preprocessing
  • 1.4.3 Built-Up Area Extraction
  • 1.4.4 Per-Pixel Classification
  • 1.4.5 Clustering
  • 1.4.6 Segmentation
  • 1.4.7 Object-Based Image Classification
  • 1.4.8 Foursquare Data Preprocessing and Quality Analysis
  • 1.4.9 Integration of Satellite Images with Foursquare Data
  • 1.4.10 Building Block Identification
  • 1.4.11 Overlay of Foursquare Points
  • 1.4.12 Visualization of Land Usage
  • 1.4.13 Common Platform Development
  • 1.5 System Evaluation
  • 1.5.1 Experimental Evaluation Process
  • 1.5.2 Evaluation of the Classification Using Base Error Matrix
  • 1.6 Discussion
  • 1.6.1 Contribution of the Proposed Approach
  • 1.6.2 Limitations of the Data Sets
  • 1.6.3 Future Research Directions
  • 1.7 Conclusion
  • References
  • Chapter 2 Indian Sign Language Recognition Using Soft Computing Techniques
  • 2.1 Introduction
  • 2.2 Related Works
  • 2.2.1 The Domain of Sign Language
  • 2.2.2 The Data Acquisition Methods
  • 2.2.3 Preprocessing Steps
  • 2.2.3.1 Image Restructuring
  • 2.2.3.2 Skin Color Detection
  • 2.2.4 Methods of Feature Extraction Used in the Experiments
  • 2.2.5 Classification Techniques
  • 2.2.5.1 K-Nearest Neighbor
  • 2.2.5.2 Neural Network Classifier
  • 2.2.5.3 Naive Baÿes Classifier
  • 2.3 Experiments
  • 2.3.1 Experiments on ISL Digits
  • 2.3.1.1 Results and Discussions on the First Experiment
  • 2.3.1.2 Results and Discussions on Second Experiment
  • 2.3.2 Experiments on ISL Alphabets
  • 2.3.2.1 Experiments with Single-Handed Alphabet Signs
  • 2.3.2.2 Results of Single-Handed Alphabet Signs
  • 2.3.2.3 Experiments with Double-Handed Alphabet Signs
  • 2.3.2.4 Results on Double-Handed Alphabets
  • 2.3.3 Experiments on ISL Words
  • 2.3.3.1 Results on ISL Word Signs
  • 2.4 Summary
  • References
  • Chapter 3 Stored Grain Pest Identification Using an Unmanned Aerial Vehicle (UAV)-Assisted Pest Detection Model
  • 3.1 Introduction
  • 3.2 Related Work
  • 3.3 Proposed Model
  • 3.4 Results and Discussion
  • 3.5 Conclusion
  • References
  • Chapter 4 Object Descriptor for Machine Vision
  • 4.1 Outline
  • 4.2 Chain Codes
  • 4.3 Polygonal Approximation
  • 4.4 Moments
  • 4.5 HU Invariant Moments
  • 4.6 Zernike Moments
  • 4.7 Fourier Descriptors
  • 4.8 Quadtree
  • 4.9 Conclusion
  • References
  • Chapter 5 Flood Disaster Management: Risks, Technologies, and Future Directions
  • 5.1 Flood Management
  • 5.1.1 Introduction
  • 5.1.2 Global Flood Risks and Incidents
  • 5.1.3 Causes of Floods
  • 5.1.4 Floods in Pakistan