| 书目名称 | Image Processing Using Pulse-Coupled Neural Networks | | 编辑 | T. Lindblad,J.M. Kinser | | 视频video | | | 概述 | Excellent presentation of a new concept of image processing by electronic neural networks based on the technical realization of biological concepts.Includes supplementary material: | | 图书封面 |  | | 描述 | .This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.. | | 出版日期 | Book 20052nd edition | | 关键词 | Natur; Pulse image processing; Pulse-coupled neural networks; Simulation; image processing; object recogn | | 版次 | 2 | | doi | https://doi.org/10.1007/3-540-28293-9 | | isbn_softcover | 978-3-642-06343-5 | | isbn_ebook | 978-3-540-28293-8 | | copyright | Springer-Verlag Berlin Heidelberg 2005 |
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发表于 2025-3-21 19:05:17
