学科科研 关键词：图像处理；隶属函数；多级灰度增强 [gap=719]Key words：image processing；neighborhood function；multigray level enhancemen
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direct neighborhood function 直接邻域法
neighborhood function pipeline 邻域功能流水线
Presents the concept of multi gray level enhancement in allusion to limitation of traditional image enhancement technique. It uses fuzzy functor to give a multi gray level enhancement algorithm through defining neighborhood function, saturation enhancement point and transition point.
针对传统图像增强技术的缺陷，提出了多级灰度增强的概念，利用模糊算子，并通过定义隶属函数、饱和增强点和渡越点参数，给出了一种多级灰度增强的算法，该算法可根据要求对图像不同区域层次设计不同增强效果，使图像层次更加清晰。
参考来源 - 图像多级灰度非线性模糊增强算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The neighborhood function constructed was swap.
构造的邻域函数为互换操作。
The algorithm of two-dimensional Kohonen network is improved from serval aspects such as neighborhood function, learning rate, etc. It is applied into tobacco clustering.
本章重点从邻域函数、学习率调整等方面研究了二维网络的改进算法，并将之应用于烟叶动态分类问题。
While continuing to provide books in the future, they will function as nerve centers for communicating digitized information at the neighborhood level as well as on college campuses.
虽然图书馆在未来仍将提供图书，但是它们也将继续在社区以及大学校园中扮演神经中枢的职能，传播数字化的信息。
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