Analysis on the Factors Causing the Real-Time Image Blurry and Development of Methods for the Image Restoration
The blurred images will make image processing difficult and be hard to get high image solution for recognition, which will lower the precision of a variable rate spray system in pesticide application. In this paper, Radon trans-form in frequency domain is used in this work to test the blur angle and blur length in different tractors speeds and camera heights. Four image restoration methods in terms of the shape, color, texture and computing time were com-pared. The results showed that the speed of tractor and the height of camera played an important role on the blur extent of real-time image. A mathematical model corresponding blur angle and blur length with the speed of tractor and the height of camera is established, which would provide a theoretical basis for reducing blur and improving the quality of real-time image.
Machine vision Real-time Blurred image Radon transform Image restoration
Jianhua Zhang Ronghua Ji Kaiqun Hu Xue Yuan Hui Li Lijun Qi
College of Engineering, China Agricultural University, Beijing, 100083, P.R. China
国际会议
南昌
英文
304-315
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）