Image segmentation principles, techniques, and applications

"Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be...

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Detalles Bibliográficos
Autor principal: Lei, Tao (-)
Otros Autores: Nandi, Asoke Kumar, autor (autor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, NJ : Wiley 2023.
Colección:Wiley ebooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b47243454*spi
Descripción
Sumario:"Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors--such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression--to assist graduate students and researchers apply and improve image segmentation in their work."--
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
ISBN:9781119859031
9781119859024
9781119859048