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hassanien aboul ella (curatore); oliva diego alberto (curatore) - advances in soft computing and machine learning in image processing

Advances in Soft Computing and Machine Learning in Image Processing

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 10/2017
Edizione: 1st ed. 2018





Trama

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.





Sommario

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.











Altre Informazioni

ISBN:

9783319637532

Condizione: Nuovo
Collana: Studies in Computational Intelligence
Dimensioni: 235 x 155 mm Ø 12114 gr
Formato: Copertina rigida
Illustration Notes:XII, 718 p. 309 illus., 195 illus. in color.
Pagine Arabe: 718
Pagine Romane: xii


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