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 Vasculitis in Clinical Practice by
Cover of the book Production Management of Chemical Industries by
Cover of the book Dalit Theology after Continental Philosophy by
Cover of the book Design Thinking Research by
Cover of the book The Papanicolaou Society of Cytopathology System for Reporting Pancreaticobiliary Cytology by
Cover of the book Sexual Abuse in Sport by
Cover of the book Democratic Legitimacy in the European Union and Global Governance by
Cover of the book Advances in Information Retrieval by
Cover of the book Innovative Heat Exchangers by
Cover of the book Percutaneous Intervention for Coronary Chronic Total Occlusion by
Cover of the book Automotive User Interfaces by
Cover of the book Atlas of Airway Surgery by
Cover of the book Architecture of Computing Systems -- ARCS 2016 by
Cover of the book Switzerland’s Differentiated European Integration by
Cover of the book Implementation and Application of Automata 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