Image segmentation principles, techniques, and applications / Tao Lei, Asoke K. Nandi.

Author/creator Lei, Tao
Other author Nandi, Asoke Kumar.
Format Electronic
Publication InfoHoboken, NJ : Wiley, 2023.
Description1 online resource
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Abstract "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."-- Provided by publisher.
General noteIncludes index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other formPrint version: Lei, Tao Image segmentation Hoboken, NJ : Wiley, 2023 9781119859000
Genre/formElectronic books.
LCCN 2022050359
ISBN9781119859031 (epub)
ISBN9781119859024 (adobe pdf)
ISBN(cloth)

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