首页 | 本学科首页   官方微博 | 高级检索  
     

经纬仪测量图像中目标缺损区域的恢复
引用本文:李晓冰 高冰. 经纬仪测量图像中目标缺损区域的恢复[J]. 飞行器测控学报, 2007, 26(3): 30-33
作者姓名:李晓冰 高冰
作者单位:92941部队·辽宁葫芦岛·125000;92941部队·辽宁葫芦岛·125000
摘    要:根据电子经纬仪序列测量图像的特性,充分利用缺损帧前后数帧图像的相关信息,采用C-均值模糊聚类技术,提出了一种测量图像缺损部分恢复方法,对恢复帧前后数帧进行聚类,并剔除噪声帧,采用有效聚类中心灰度值对缺损区域进行恢复。经试验证明:此方法恢复的目标区域图像准确,灰度变化平缓,不失真。

关 键 词:序列图像  缺损图像  C-均值模糊聚类  灰度值  图像恢复
收稿时间:2006-11-12
修稿时间:2006-11-122007-01-17

Restoration of Target Incomplete Area in Theodolite Measuring Image
LI Xiao-bing ,GAO Bing. Restoration of Target Incomplete Area in Theodolite Measuring Image[J]. Journal of Spacecraft TT&C Technology, 2007, 26(3): 30-33
Authors:LI Xiao-bing   GAO Bing
Affiliation:PLA Unit 92941, Huludao, Liao-ning Province 125000
Abstract:According to the characteristics of cine-theodolite serial measuring image, the paper effectually utilizes related information of incomplete image frame neighborhood by using fuzzy C-means clustering. A new method for restoration of measuring image incomplete area is presented. The image of restoration frame neighborhood is clustered, the noise frame is eliminated from the image, and the gray value of effective cluster center is used to restore incomplete area. The experimental result shows that the restoring target area is accurate by use of this method, the change of gray is gentle and without distortion.
Keywords:Serial Image   Incomplete Image    Fuzzy C-means Clustering    Value of Gray   Image Restoration
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号