Nature Inspired Optimization Techniques for Image Processing Applications Nature Inspired Optimization Techniques for Image Processing Applications
Intelligent Systems Reference Library

Nature Inspired Optimization Techniques for Image Processing Applications

    • ‏84٫99 US$
    • ‏84٫99 US$

وصف الناشر

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

النوع
تخصصات مهنية وتقنية
تاريخ النشر
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١٩ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
٩
‫م.ب.‬
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Trends in Data Engineering Methods for Intelligent Systems Trends in Data Engineering Methods for Intelligent Systems
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Intelligent Data Communication Technologies and Internet of Things Intelligent Data Communication Technologies and Internet of Things
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Data Visualization and Knowledge Engineering Data Visualization and Knowledge Engineering
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AI in Cybersecurity AI in Cybersecurity
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Metaheuristics for Data Clustering and Image Segmentation Metaheuristics for Data Clustering and Image Segmentation
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Engineering Research Methodology Engineering Research Methodology
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Internet of Things and Big Data Analytics for Smart Generation Internet of Things and Big Data Analytics for Smart Generation
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Outlier Detection: Techniques and Applications Outlier Detection: Techniques and Applications
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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions
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