Intelligent Fractal-Based Image Analysis: Applications in Pattern Recognition and Machine Vision

Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision explores the strengths and weaknesses of fractal graphics in engineering and science applications, highlighting their relevance in digital image analysis and pattern recognition. It presents core concepts, methodological aspects, and advanced feature opportunities, focusing on real-time applications in engineering and health science.

Format: Paperback / softback
Length: 318 pages
Publication date: 06 June 2024
Publisher: Elsevier Science Publishing Co Inc

Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision delves into the current strengths and weaknesses of various applications, as well as groundbreaking research findings in the realm of fractal graphics in engineering and science applications. The primary objective of this book is to enhance the exchange of ideas and coherence between diverse core computing methods and emphasize the significance of related application areas for both advanced and novice users.

The book offers a comprehensive exploration of core concepts, methodological aspects, and advanced feature opportunities, with a particular focus on major real-time applications in engineering and health science. It caters to a wide audience, including researchers, data scientists, industry professionals, and graduate students, who are eager to delve into the world of fractal-based image analysis.

Fractals, as infinite and complex patterns, have found widespread applications in modeling physical and dynamic systems. The study of fractal theory has experienced a significant surge across diverse fields, including engineering science, health science, and social science. Recent literature highlights the crucial role fractals play in digital image analysis, particularly in biomedical image processing.

Fractal graphics is an interdisciplinary field that bridges the gap between computer science and the visual arts. It involves the utilization of computers to extract high-level insights from digital images. By integrating artificial intelligence with fractal characteristics, researchers have opened up new avenues for interdisciplinary research in the fields of pattern recognition and image processing analysis.

In conclusion, Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision serves as a valuable resource for researchers, practitioners, and students interested in exploring the latest advancements in fractal-based image analysis. By providing a comprehensive overview of core concepts, methodological aspects, and advanced feature opportunities, this book fosters a deeper understanding of the potential applications of fractal graphics in engineering and science. As the field continues to evolve, this book will remain an essential reference for anyone seeking to leverage the power of fractals in digital image analysis and other interdisciplinary domains.

Weight: 510g
Dimension: 151 x 230 x 19 (mm)
ISBN-13: 9780443184680