Andere Kunden interessierten sich auch für
![Metaheuristic Algorithms for Image Segmentation: Theory and Applications]( "Metaheuristic Algorithms for Image Segmentation: Theory and Applications")
Metaheuristic Algorithms for Image Segmentation: Theory and Applications75,99 €![Metaheuristic Algorithms for Image Segmentation: Theory and Applications]( "Metaheuristic Algorithms for Image Segmentation: Theory and Applications")
Metaheuristic Algorithms for Image Segmentation: Theory and Applications75,99 €![Applications of Hybrid Metaheuristic Algorithms for Image Processing]( "Applications of Hybrid Metaheuristic Algorithms for Image Processing")
Applications of Hybrid Metaheuristic Algorithms for Image Processing119,99 €![Applications of Hybrid Metaheuristic Algorithms for Image Processing]( "Applications of Hybrid Metaheuristic Algorithms for Image Processing")
Applications of Hybrid Metaheuristic Algorithms for Image Processing119,99 €![Applications of Evolutionary Computation in Image Processing and Pattern Recognition]( "Applications of Evolutionary Computation in Image Processing and Pattern Recognition")
Applications of Evolutionary Computation in Image Processing and Pattern Recognition75,99 €![Soft Computing Applications]( "Soft Computing Applications")
Soft Computing Applications75,99 €![Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions]( "Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions")
Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions128,99 €
This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing.
The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.
The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.
"This book examines the application of optimization to common problems in image processing: segmentation, template matching, and shape detection. ... Readers interested in improving the accuracy or performance of image processing systems would do well to read this book." (Creed Jones, Computing Reviews, May, 2017)