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Nature Inspired Optimization Techniques for Image Processing Applications

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Cover of 'Nature Inspired Optimization Techniques for Image Processing Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Firefly Optimization Based Improved Fuzzy Clustering for CT/MR Image Segmentation
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    Chapter 2 Bat Optimization Based Vector Quantization Algorithm for Medical Image Compression
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    Chapter 3 An Assertive Framework for Automatic Tamil Sign Language Recognition System Using Computational Intelligence
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    Chapter 4 Improved Detection of Steganographic Algorithms in Spatial LSB Stego Images Using Hybrid GRASP-BGWO Optimisation
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    Chapter 5 Nature Inspired Optimization Techniques for Image Processing—A Short Review
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    Chapter 6 Application of Ant Colony Optimization for Enhancement of Visual Cryptography Images
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    Chapter 7 Plant Phenotyping Through Image Analysis Using Nature Inspired Optimization Techniques
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    Chapter 8 Cuckoo Optimization Algorithm (COA) for Image Processing
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    Chapter 9 Artificial Bee Colony Based Feature Selection for Automatic Skin Disease Identification of Mango Fruit
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    Chapter 10 Analyzing the Effect of Optimization Strategies in Deep Convolutional Neural Network
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    Chapter 11 A Novel Underwater Image Enhancement Approach with Wavelet Transform Supported by Differential Evolution Algorithm
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    Chapter 12 Feature Selection in Fetal Biometrics for Abnormality Detection in Ultrasound Images
Attention for Chapter 4: Improved Detection of Steganographic Algorithms in Spatial LSB Stego Images Using Hybrid GRASP-BGWO Optimisation
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