Advances in Soft Computing and Machine Learning in Image Processing: 730 (Studies in Computational Intelligence) - Hardcover

Hardcover

ISBN 10: 3319637533 ISBN 13: 9783319637532

Verlag: Springer, 2017

Inhaltsangabe

<P>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.</P><P> </P><P>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. &NBSP;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.</P>

Über diesen Titel

Críticas:

“Every chapter is well written and comprehensive. New algorithms are presented with experimental results and performance comparisons. The reference materials used are clearly cited. Overall, this well-edited volume consists of rich, highly useful, and relevant material. It will be useful for research students working in soft computing, machine vision, and image processing fields.” (S. Ramakrishnan, Computing Reviews, July, 2018)

Reseña del editor:

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.

Über diese Auflage

• Verlag: Springer
• Erscheinungsdatum: 2017
• ISBN 10: 3319637533
• ISBN 13: 9783319637532
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 732
• Herausgeber: Hassanien Aboul Ella, Oliva Diego Alberto