中图分类法:
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TP391.41 版次: |
著者:
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Lei, Tao |
题名:
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Image segmentation : [ principles, techniques, and applications /] / , |
出版发行:
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出版地: Hoboken, NJ : 出版社: Wiley, 出版日期: 2023. |
载体形态:
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xxxiii, 297 pages : illustrations (chiefly color) ; 26 cm |
内容提要:
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"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."-- |
主题词:
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Image segmentation. |
主要责任者:
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Nandi, Asoke Kumar, Nandi, Asoke Kumar, |