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Recent Advances on Memetic Algorithms and its Applications in Image Processing [electronic resource] / edited by D. Jude Hemanth, B. Vinoth Kumar, G. R. Karpagam Manavalan.

Contributor(s): Hemanth, D. Jude [editor.] | Kumar, B. Vinoth [editor.] | Manavalan, G. R. Karpagam [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 873Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XIV, 199 p. 69 illus., 45 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811513626.Subject(s): Engineering mathematics | Engineering—Data processing | Computer vision | Algorithms | Mathematical and Computational Engineering Applications | Computer Vision | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620 Online resources: Click here to access online
Contents:
An Evolutionary Computing Approach to Solve Object Identification Problem for fall detection in Computer Vision based Video Surveillance Applications -- Texture-dependent Optimal Fractional-order Framework for Image Quality Enhancement through Memetic Inclusions in Cuckoo Search and Sine-Cosine Algorithms -- Artificial Bee Colony: Theory, Literature Review, and Application in Image Segmentation -- Applications of Memetic Algorithms in Image Processing Using Deep Learning -- Recent Applications of Swarm-based Algorithms to Color Quantization -- Hybrid Biogeography Based Optimization Techniques for Geo-Spatial Feature Extraction: A Brief Survey -- An Efficient Copy-move Forgery Detection Technique using Nature-Inspired Optimization Algorithm -- Design and Implementation of Hybrid Plate Tectonics Neighborhood based ADAM’s Optimization and its application on Crop Recommendation -- An Evolutionary Memetic Weighted Associative Classification Algorithm for Heart Disease Prediction.
In: Springer Nature eBookSummary: This book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.
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An Evolutionary Computing Approach to Solve Object Identification Problem for fall detection in Computer Vision based Video Surveillance Applications -- Texture-dependent Optimal Fractional-order Framework for Image Quality Enhancement through Memetic Inclusions in Cuckoo Search and Sine-Cosine Algorithms -- Artificial Bee Colony: Theory, Literature Review, and Application in Image Segmentation -- Applications of Memetic Algorithms in Image Processing Using Deep Learning -- Recent Applications of Swarm-based Algorithms to Color Quantization -- Hybrid Biogeography Based Optimization Techniques for Geo-Spatial Feature Extraction: A Brief Survey -- An Efficient Copy-move Forgery Detection Technique using Nature-Inspired Optimization Algorithm -- Design and Implementation of Hybrid Plate Tectonics Neighborhood based ADAM’s Optimization and its application on Crop Recommendation -- An Evolutionary Memetic Weighted Associative Classification Algorithm for Heart Disease Prediction.

This book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.

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