Intelligent Fractal-Based Image Analysis

Applications in Pattern Recognition and Machine Vision

Soumya Ranjan Nayak, Janmenjoy Nayak, Khan Muhammad, Yeliz Karaca, Soumya Ranjan Nayak, Janmenjoy Nayak, Khan Muhammad, Yeliz Karaca

• Publisher: Academic Press
• Year: 2024
• Print ISBN:
  9780443184680
• eBook ISBN:
  9780443184697
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. - Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems - Explores the application of fractal theories to a wide range of medical image processing modalities - Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems

Table of contents

• Cover
• Front Matter
• Table of Contents
• Copyright
• Contents
• Contributors
• Foreword
• Preface
• Acknowledgments
• List of Illustrations
• List of Tables
• Chapter 1 : A deep insight into intelligent fractal-based image analysis with pattern recognition
• Chapter 2 : Analysis of Mandelbrot set fractal images using a machine learning based approach
• Chapter 3 : Chaos-based image encryption
• Chapter 4 : Fractal feature based image classification
• Chapter 5 : The study of source image and its futuristic quantum applications: an insight from fractal analysis
• Chapter 6 : Deep CNNS and fractal-based sequence learning for violence detection in surveillance videos
• Chapter 7 : Wavelets for anisotropic oscillations in nanomaterials: Wavelets for anisotropic oscillations
• Chapter 8 : Comparative analysis of approaches to optimize fractal image compression
• Chapter 9 : Alzheimer disease (AD) medical image analysis with convolutional neural networks: AD-CNN
• Chapter 10 : An intelligent fractal-dimension-based model for brain-tumor MRI analysis
• Chapter 11 : Fractal dimension analysis using hybrid RDBC and IDBC for gray scale images
• Chapter 12 : Preliminary analysis and survey of retinal disease diagnosis through identification and segmentation of bright and dark lesions
• Index
• A