Intelligent Fractal-Based Image Analysis : Applications in Pattern Recognition and Machine Vision Paperback / softback
Edited by Soumya Ranjan (Assistant Professor, Amity School of Engineering and Technology, Amity Univers Nayak, Janmenjoy (Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo (MSCBD) Univers Nayak, Khan (Assistant Professor, Department of Interaction Science and Director of Visual Analyt Muhammad, Yeliz (Assistant Professor of Applied Mathematics and Researcher, University of Massachusett Karaca
Part of the Cognitive Data Science in Sustainable Computing series
Paperback / softback
Description
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 highlights the relevance of related application areas for advanced as well as novice-user application.
The book presents core concepts, methodological aspects, and advanced feature opportunities, focusing on major, real-time applications in engineering and health science.
It will appeal to researchers, data scientists, industry professionals, and graduate students. 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.
Information
-
Pre-Order
- Format:Paperback / softback
- Pages:318 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:01/05/2024
- Category:
- ISBN:9780443184680
Information
-
Pre-Order
- Format:Paperback / softback
- Pages:318 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:01/05/2024
- Category:
- ISBN:9780443184680
