Advances In Soft Computing And Machine Learning In Image Processing (studies In Computational Intelligence)
by Aboul Ella Hassanien /
2017 / English / PDF
41.2 MB Download
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.
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.
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.
