Advances in soft computing and machine learning in image processing.
First Statement of Responsibility
/ Edited by Aboul Ella Hassanien, Diego Alberto Oliva.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, N.Y.
Name of Publisher, Distributor, etc.
: Springer Berlin Heidelberg
Date of Publication, Distribution, etc.
, 2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xii, 718 pages.
Other Physical Details
: illustrations (some color).
SERIES
Series Title
Studies in computational intelligence
Volume Designation
; 730.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
SUMMARY OR ABSTRACT
Text of Note
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.
TOPICAL NAME USED AS SUBJECT
Entry Element
Image processing -- Digital techniques.
Entry Element
Soft computing.
Entry Element
Machine learning.
UNCONTROLLED SUBJECT TERMS
Subject Term
Image processing, Digital techniques in image processing, Machine learning.