| 书目名称 | Soft Computing for Image Processing | | 编辑 | Sankar K. Pal,Ashish Ghosh,Malay K. Kundu | | 视频video | | | 概述 | Application oriented comprehensive volume.Practical, timely, effective, comprehensive, understandable and informative, along with an introduction to the subject | | 丛书名称 | Studies in Fuzziness and Soft Computing | | 图书封面 |  | | 描述 | Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets; for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important | | 出版日期 | Book 2000 | | 关键词 | algorithm; algorithms; artificial neural network; classification; cognition; filtering; fuzzy; fuzzy logic; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-7908-1858-1 | | isbn_softcover | 978-3-7908-2468-1 | | isbn_ebook | 978-3-7908-1858-1Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer-Verlag Berlin Heidelberg 2000 |
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发表于 2025-3-21 19:08:14
