Pregled bibliografske jedinice broj: 868084
Hybrid Soft Computing for Image Segmentation
Hybrid Soft Computing for Image Segmentation / Bhattacharyya, S ; Dutta, P ; De, S ; Klepac, Goran (ur.), 2016 (monografija)
CROSBI ID: 868084 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Hybrid Soft Computing for Image Segmentation
Urednik/ci
Bhattacharyya, S ; Dutta, P ; De, S ; Klepac, Goran
Vrsta, podvrsta i kategorija knjige
Uredničke knjige, monografija, znanstvena
Izdavač
Springer
Godina
2016
Stranica
321
ISBN
978-3-319-47223-2
Ključne riječi
Hybrid Soft Computing , Image Segmentation
Sažetak
This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty ; artificial neural networks, usually applied for machine cognition, learning, and recognition ; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization. The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
