| 粗糙集理论在图像增强中的应用 |
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| 引用本文： | 徐立中,王慧敏,刘美林,杨锦堂.粗糙集理论在图像增强中的应用[J].数据采集与处理,1999,14(3):307-310. |
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| 作者姓名： | 徐立中 王慧敏 刘美林 杨锦堂 |
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| 作者单位： | 河海大学电气工程学院,南京,210098 |
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| 摘 要： | 粗糙集理论是一种新的处理含糊和不确定性问题的数学工具。它作为一种软计算方法,与模糊方法、遗传算法、神经网络等一样,是有发展潜力的智能信息处理方法。本文提出一种基于粗糙集的图像增强新方法,该方法按条件属性,将一幅图像划分为不同的子图,然后对子图分别作对比度增强,增强图像的效果较为理想,满足了工程上的要求。
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| 关 键 词： | 粗糙集 图像处理 图像增强 软计算方法 |
| 修稿时间： | 1999年3月8日 |
An Image Enhancing Method Based on Rough Sets |
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| Xu Lizhong,Wang Huimin,Liu Meilin,Yang Jintang.An Image Enhancing Method Based on Rough Sets[J].Journal of Data Acquisition & Processing,1999,14(3):307-310. |
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| Authors: | Xu Lizhong Wang Huimin Liu Meilin Yang Jintang |
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| Abstract: | Rough sets theory is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft compuation method. Being the same as fuzzy method, genetic algorithms, neural networks, it is an intellective information processing method. This paper presents an image enhancing method based on rough sets. In this new method, an image is segmented to different sub image according to condition attribute, and the sub images are respectively enhanced. The quality of enhanced image is good enough and meets engineering requirements. |
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| Keywords: | rough sets image processing image enhancement soft computing method |
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