摘要
对空中飞行飞机图像的拍摄模糊轮廓进行优化复原,能够有效提高对飞行飞机图像的分析效率。对图像拍摄的模糊轮廓进行优化复原,需要先使图像均方差达到最小值,对拍摄图像的模糊轮廓进行精准提取,完成拍摄图像模糊轮廓的复原。传统方法获取模糊尺度,获取信噪比最优值,但忽略了对图像均方差最小值的求取。提出基于snake模型的空中飞机飞行拍摄图像模糊轮廓优化复原方法。通过分析空中飞机飞行拍摄图像模糊轮廓复原原理。通过位移矢量对点扩散函数进行估测,令原始图像和空中飞机飞行图像均方差达到最小,实现空中飞机飞行图像复原。通过snake模型对拍摄模糊轮廓进行提取,对拍摄模糊轮廓训练样本进行统计分析,建立拍摄模糊轮廓复原模型,对模型进行求解,达到复原拍摄模糊轮廓的目的。实验结果表明,所提方法复原效果好,质量高。
The optimization of the blurred contours of aerial flight plane images can effectively improve the analy- sis efficiency of flight aircraft images. To optimize the blurred contour of image shooting, it is necessary to make the minimum mean square error of the image first, extract the fuzzy contour of the captured image accurately, and complete the restoration of the blurred outline of the captured image. The traditional method obtains the fuzzy scale and gets the optimal signal - to - noise ratio, but ignores the minimum of the mean square error of the image. An aerial image restoration method based on Snake model for aerial flight image restoration is proposed. By analyzing the aerial flight image restoration and shooting blurred contour restoration principle. , the point spread function was estimated by the displacement vector, so that the minimum variance of the original image and the aerial flight image were achieved, and the flight image restoration of the aerial plane was realized. The fuzzy snake model was used to extract the vague contour, the statistical analysis was carried out for the training samples of the vague contour, and then the vague contour restoration model was established. Finaly, the model was solved to recover the vague outline. The experimental results show that the proposed method has good recovery effect and high quality.
作者
毛润东
唐国红
MAO Run - dong;TANG Guo - hong(School of Electrical and Information Engineering, Changsha University of Science ＆ Technology, Changsha Hunan 410114, China)
出处
《计算机仿真》
北大核心
2018年第6期390-393,455,共5页
Computer Simulation
关键词
飞行图像
模糊轮廓
优化复原
Flight image
Fuzzy contour
Optimal restoration
