| 书目名称 | Fuzzy Filters for Image Processing |
| 编辑 | Mike Nachtegael,Dietrich Weken,Dimitri Ville |
| 视频video | http://file.papertrans.cn/352/351212/351212.mp4 |
| 概述 | Offers State-of-the-art fuzzy filters for image processing |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | The ongoing increase in scale of integration of electronics makes storage and computational power affordable to many applications. Also image process ing systems can benefit from this trend. A variety of algorithms for image processing tasks becomes close at hand. From the whole range of possible approaches, those based on fuzzy logic are the ones this book focusses on. A particular useful property of fuzzy logic techniques is their ability to represent knowledge in a way which is comprehensible to human interpretation. The theory of fuzzy sets and fuzzy logic was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from mem bership to nonmembership, providing partial degrees of membership. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. The present book resulted from the workshop "Fuzzy Filters for Image Processing" which was organized a |
| 出版日期 | Book 2003 |
| 关键词 | 3D; 3D graphics; Edge Detection; Fuzzy Filters; Noise Removal; Segmentation; Tracking; artificial intellige |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-36420-7 |
| isbn_softcover | 978-3-642-05591-1 |
| isbn_ebook | 978-3-540-36420-7Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2003 |
|Archiver|手机版|小黑屋|
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