@inproceedings{b44e10928ef34495bc2c1ca135beb869,
title = "Analysis on the factors causing the real-time image blurry and development of methods for the image restoration",
abstract = "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 transform 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 compared. 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.",
keywords = "Blurred image, Image restoration, Machine vision, Radon transform, Real-time",
author = "Jianhua ZHANG and Ronghua Ji and Kaiqun Hu and Xue Yuan and Hui Li and Lijun Qi",
note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 4th IFIP International Conference on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information, CCTA 2010 ; Conference date: 22-10-2010 Through 25-10-2010",
year = "2011",
doi = "10.1007/978-3-642-18354-6_37",
language = "English",
isbn = "9783642183539",
series = "IFIP Advances in Information and Communication Technology",
number = "PART 3",
pages = "304--315",
booktitle = "Computer and Computing Technologies in Agriculture IV - 4th IFIP TC 12 Conference, CCTA 2010, Selected Papers",
edition = "PART 3",
}