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.
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.
作者
赵雨田
都洪基
ZHAO Yu-Tian DU Hong-Ji(School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China)
出处
《计算机系统应用》
2017年第2期104-111,共8页
Computer Systems & Applications
关键词
电力线
灰度图像
图像增强
随机数学
模糊数学
power line
gray image
image enhancement
random mathematics
fuzzy mathematics
