Advances in Soft Computing and Machine Learning in Image Processing

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Electronics, General Computing
Cover of the book Advances in Soft Computing and Machine Learning in Image Processing by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319637549
Publisher: Springer International Publishing Publication: October 13, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319637549
Publisher: Springer International Publishing
Publication: October 13, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Teacher Education for High Poverty Schools by
Cover of the book Electric and Hybrid Buses for Urban Transport by
Cover of the book Enterprise Information Systems by
Cover of the book Alopecia Areata by
Cover of the book Inflammatory Bowel Disease by
Cover of the book Nanophysics for Energy Efficiency by
Cover of the book Automation 2018 by
Cover of the book The Caves of Burnsville Cove, Virginia by
Cover of the book Independent Television Production in the UK by
Cover of the book Natural Language Understanding and Intelligent Applications by
Cover of the book Geoenergy Modeling III by
Cover of the book Fundamentals of Transference-Focused Psychotherapy by
Cover of the book Climate Driven Retreat of Mount Baker Glaciers and Changing Water Resources by
Cover of the book Christian Ethics and Corporate Culture by
Cover of the book Organotrifluoroborate Preparation, Coupling and Hydrolysis by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy