书目名称 | Fuzzy Models and Algorithms for Pattern Recognition and Image Processing |
编辑 | James C. Bezdek,James Keller,Nikhil R. Pal |
视频video | http://file.papertrans.cn/352/351312/351312.mp4 |
概述 | Up-to-date treatment of analysis clustering and classifier design.Emphasis on the numerical approach to pattern recognition.Includes many fuzzy sets techniques and over 70 pages of references |
丛书名称 | The Handbooks of Fuzzy Sets |
图书封面 |  |
描述 | .Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the .Kluwer Handbooks of. .Fuzzy Sets Series. is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering. |
出版日期 | Book 1999 |
关键词 | Processing; Remote Sensing; algorithms; cluster; cognition; computer; computer vision; fuzzy sets; image ana |
版次 | 1 |
doi | https://doi.org/10.1007/b106267 |
isbn_softcover | 978-0-387-24515-7 |
isbn_ebook | 978-0-387-24579-9Series ISSN 1388-4352 |
issn_series | 1388-4352 |
copyright | Springer Science+Business Media New York 1999 |