摘要
本文论述了图象的模糊集合表示和利用模糊性质进行图象增强的基本原理,讨论了一级模糊增强方法,提出了自适应二级模糊增强模型,并同Pal,S K模型作了比较,提出了它们各自的优缺点,实验结果令人满意.
According to fuzzy set theory, a digital image can be represented in an array of fuzzy singletons. In this paper, we have discussed the principle of image enhancement on the fuzzy property plane of an image. One-step fuzzy enhancement and adaptive two-step fuzzy enhancement methods are given. Their experiment results are satisfactory.
出处
《杭州大学学报(自然科学版)》
CSCD
1991年第3期292-297,共6页
Journal of Hangzhou University Natural Science Edition
关键词
图象增强
模糊集合
平滑
fuzzy set
contrast
image enhacement
smooth