دانلود کتاب Modern Metaheuristics in Image Processing

فهرست مطالب :

Cover
Title Page
Copyright Page
Preface
Table of Contents
1. Introduction
1.1 Image Segmentation by Thresholding
1.1.1 Image segmentation quality metrics
1.2 Metaheuristic Algorithms
1.2.1 A generic explanation of metaheuristic algorithms
1.3 Conclusions
Exercises
References
2. Literature Review
2.1 Introduction
2.2 Multilevel Thresholding over the Years
2.3 Current Trends on Image Thresholding
2.3.1 New metaheuristics and modifications
2.3.2 Hyper-heuristics
2.3.3 Multi-objective thresholding
2.3.4 Multidimensional histograms
2.3.5 Energy curve
2.4 Benchmark Images
2.5 Conclusions
Exercises
References
3. The Political Optimizer for Image Thresholding
3.1 Introduction
3.2 The Political Optimizer
3.3 Otsu’s Methodology between Class Variance
3.4 Multilevel Thresholding with PO and Otsu
3.5 Experiments
3.6 Conclusions
Exercises
References
4. Multilevel Thresholding by Using Manta Ray Foraging Optimization
4.1 Introduction
4.2 The Manta Ray Foraging Optimization
4.3 The Kapur Entropy
4.4 Multilevel Thresholding with MRFO and Kapur
4.5 Experiments
4.6 Conclusions
Exercises
References
5. Archimedes Optimization Algorithm and Cross-entropy
5.1 Archimedes Optimization Algorithm
5.1.1 Initialization
5.1.2 Update
5.1.3 Exploration phase
5.1.4 Exploitation phase
5.2 Cross-Entropy
5.3 Multilevel Thresholding with AOA and Cross-entropy
5.4 Experiments
5.5 Conclusions
Exercises
References
6. Equilibrium Optimizer and Masi Entropy
6.1 Equilibrium Optimizer
6.1.1 Initializing
6.1.2 Pooling
6.1.3 Updating
6.2 Masi Entropy
6.2.1 Masi entropy
6.3 Multilevel Thresholding with EO and Masi Entropy
6.4 Experiments
6.5 Conclusions
Exercises
References
7. MATLAB® Codes
7.1 Equilibrium Optimizer (EO)
7.2 Political Optimizer (PO)
7.3 Manta Ray Foraging Optimization (MRFO)
7.4 Archimedes Optimization Algorithm (AOA)
Index