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电力线数字灰度图像增强算法
引用本文:赵雨田,都洪基. 电力线数字灰度图像增强算法[J]. 计算机系统应用, 2017, 26(2): 104-111
作者姓名:赵雨田  都洪基
作者单位:南京理工大学 自动化学院, 南京 210094,南京理工大学 自动化学院, 南京 210094
摘    要:无人机巡线大大提高了输电线路巡线的效率,若利用计算机处理采集的数字图像可以进一步提高效率,而图像增强处理是计算机处理图像的一个重要过程.结合电力线数字灰度图像的特点,讨论了利用随机数学模型和模糊数学模型两类不同灰度图像增强算法,比较了这些算法的应用效果.分析了现有图像增强算法在电力线灰度图像中应用的不足,据此给出了一种基于模糊数学模型的改进型图像增强算法,并利用实例验证其具有更好的适用性.

关 键 词:电力线  灰度图像  图像增强  随机数学  模糊数学
收稿时间:2016-06-06
修稿时间:2016-07-14

Gray Image Enhancement Algorithm of Power Line
ZHAO Yu-Tian and DU Hong-Ji. Gray Image Enhancement Algorithm of Power Line[J]. Computer Systems& Applications, 2017, 26(2): 104-111
Authors:ZHAO Yu-Tian and DU Hong-Ji
Affiliation:School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China and School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Abstract:The efficiency of power line patrol is highly improved by Unmanned Aerial Vehicle, and it can be further improved if those collected digital images can be processed with computers. Image enhancement is an important procedure for image process. Two different kinds of gray image enhancement algorithm based on random mathematics model and fuzzy mathematics model respectively are discussed combined with the characteristics of power line gray image, and the performance of these algorithms is compared. The disadvantage of each current image enhancement algorithm in power line gray image is analyzed. Accordingly, we provide an improved image enhancement algorithm based on fuzzy mathematics model and its applicability is tested with examples.
Keywords:power line  gray image  image enhancement  random mathematics  fuzzy mathematics
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