Nature Inspired Optimization Techniques for Image Processing Applications

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 tec...

Ful tanımlama

Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Hemanth, Jude (Editör), Balas, Valentina Emilia (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Intelligent Systems Reference Library, 150
Konular:
Signal processing.
Image processing > Digital techniques.
Computer vision.
Mathematical optimization.
Signal, Speech and Image Processing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Optimization.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XIV, 297 p. 130 illus. online resource.
ISBN:9783319960029
ISSN:1868-4408 ;
DOI:10.1007/978-3-319-96002-9

Benzer Materyaller