Machine vision inspection systems. Vol.1: image processing, concepts

✍ Scribed by Malarvel M (ed.)

• Publisher: John Wiley & Sons
• Year: 2020
• Tongue: English
• Leaves: 242
• Category: Library

✦ Synopsis

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

✦ Table of Contents

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

✦ Subjects

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