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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Bibliographic Details
Main Authors: Lei, Tao (Professor) (Author)
Group Author: Nandi, Asoke Kumar.
Published: Wiley,
Publisher Address: Hoboken, NJ :
Publication Dates: 2023.
Literature type: Book
Language: English
Subjects:
Summary: "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."--
Carrier Form: xxxiii, 297 pages : illustrations (chiefly color) ; 26 cm
Bibliography: Includes bibliographical references and index.
ISBN: 9781119859000
111985900X
Index Number: TA1638
CLC: TP391.41
Call Number: TP391.41/L525