@inproceedings{ffb620068bb94ca081030ae35f29d3ce,
title = "Image distortion correction algorithm based on lattice array coordinate projection",
abstract = "In order to improve the accuracy of image detection and target recognition, this paper presents an image distortion correction algorithm based on quadrilateral fractal approach controlling points. This method uses standard lattice image to be the measuring target, determines the coordinate by combining mathematical morphology and sliding neighborhood operation, and then Adopt simple linear regression analysis for optical center and establish coordinate system, finally proposes Two-step and one-dimensional gray linear interpolation backward mapping algorithm to define the pixel intensity. An image acquisition hardware system is designed contains TMS320DM6437 and taking a building as target. Experiments with above method have shown that this algorithm can correct distortion in short time without loss edge information.",
keywords = "Correction, Image distortion, Machine vision",
author = "Xiao Luo and Baoling Han and Qingsheng Luo and Xiaochuan Zhao",
year = "2010",
doi = "10.1109/ICACTE.2010.5579608",
language = "English",
isbn = "9781424465408",
series = "ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings",
pages = "V222--V226",
booktitle = "ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings",
note = "2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010 ; Conference date: 20-08-2010 Through 22-08-2010",
}