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Advances in soft computing and machi...

Hassanien, Aboul Ella.

Advances in soft computing and machine learning in image processing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in soft computing and machine learning in image processingedited by Aboul Ella Hassanien, Diego Alberto Oliva.
其他作者:	Hassanien, Aboul Ella.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xii, 718 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Image processingDigital techniques.
電子資源:	http://dx.doi.org/10.1007/978-3-319-63754-9
ISBN:	9783319637549$q(electronic bk.)

Advances in soft computing and machine learning in image processing
Advances in soft computing and machine learning in image processing[electronic resource] /edited by Aboul Ella Hassanien, Diego Alberto Oliva. - Cham :Springer International Publishing :2018. - xii, 718 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7301860-949X ;. - Studies in computational intelligence ;v. 216..

Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation -- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation -- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images -- Thermal Image Segmentation Using Evolutionary Computation Techniques -- News Videos Segmentation Using Dominant Colors Representation.

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.

ISBN: 9783319637549$q(electronic bk.)

Standard No.: 10.1007/978-3-319-63754-9doiSubjects--Topical Terms:

182119
Image processing
--Digital techniques.

LC Class. No.: TA1637

Dewey Class. No.: 006.42

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520 $a 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.
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