Advances in Soft Computing and Machine Learning in Image Processing

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hassanien, Aboul Ella (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Oliva, Diego Alberto (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Computational Intelligence, 730
• Θέματα: Computational intelligence.; Artificial intelligence.; Signal processing.; Image processing.; Speech processing systems.; Computational Intelligence.; Artificial Intelligence.; Signal, Image and Speech Processing.
• Φυσική περιγραφή: XII, 718 p. 309 illus., 195 illus. in color. online resource.
• ISBN: 9783319637549
• ISSN: 1860-949X ;
• DOI: 10.1007/978-3-319-63754-9

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.