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Advances in Soft Computing and Machine Learning in Image Processing de Aboul Ella Hassanien

Advances in Soft Computing and Machine Learning in Image Processing: Studies in Computational Intelligence, cartea 730

Editat de Aboul Ella Hassanien, Diego Alberto Oliva
en Limba Engleză Hardback – 25 oct 2017
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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Specificații

ISBN-13: 9783319637532
ISBN-10: 3319637533
Pagini: 718
Ilustrații: XII, 718 p. 309 illus., 195 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.19 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.

Recenzii

“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)​

Textul de pe ultima copertă

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.

Caracteristici

Provides a collection of high-quality research work that addresses broad challenges in both theoretical and application aspects of soft computing and machine learning in image processing and computer vision Presents original research that stimulates the continuing efforts on the application of computational intelligence (CI) approaches to solve image-processing problems and computer vision problems Written by experts in the field Includes supplementary material: sn.pub/extras