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 Public Health Ethics and the Social Determinants of Health by
Cover of the book Application of Microalgae in Wastewater Treatment by
Cover of the book Violent Women in Contemporary Theatres by
Cover of the book Cuban American Political Culture and Civic Organizing by
Cover of the book Web Reasoning and Rule Systems by
Cover of the book Geometric Methods in PDE’s by
Cover of the book Engineering Multi-Agent Systems by
Cover of the book Advances in Geomorphology and Quaternary Studies in Argentina by
Cover of the book Concepts in Cell Biology - History and Evolution by
Cover of the book Quality Assurance in Asia-Pacific Universities by
Cover of the book The Psychology of Buddhism in Conflict Studies by
Cover of the book MRI of Rheumatic Spine by
Cover of the book Recent Advances in Systems, Control and Information Technology by
Cover of the book Healthcare Facilities in Emerging Countries by
Cover of the book Algebraic and Differential Methods for Nonlinear Control Theory 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