We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model

by Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 8
Year of Publication: 2010
Authors: Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk
10.5120/1701-2230

Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk . Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model. International Journal of Computer Applications. 12, 8 ( December 2010), 6-9. DOI=10.5120/1701-2230

@article{ 10.5120/1701-2230,
author = { Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk },
title = { Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 8 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number8/1701-2230/ },
doi = { 10.5120/1701-2230 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:06.118071+05:30
%A Sakonthawat Inban
%A Nopadol Uchaipichat
%A Nitikarn Nimsuk
%T Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 8
%P 6-9
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper reports our study in digital image geometrical distortion correction. The Artificial Neural Network (ANN) was employed to correct the distorted digital image which is simulated in computer. The ANN was trained to map the distorted points to the distortion-free points. As the results, our proposed technique can correct the detected distort-points with 1.7196x10-4 ±1.3027±10-2 pixel of mean square error along the x axis and 1.5281x10-4±1.2439±10-2 pixel of mean square error along the y axis.

References
  1. J. Lin, M. Xing, D. Sha, D. Su and T. Shen, "Distortion measurement of CCD camera with a large field, short focal length lens", Optics and Lasers in Engineering, Vol.43, No.10, pp. 1137-1144, 2005.
  2. H. Wang, G. Cao, H. Xu, P. Wang, “Application of Neural Network on Distortion Correction Based of Standard Grid”, In proceeding of the International Conference on Mechatronics and Automation, 2009. ICMA 2009 , pp.2717-2722, 2009.
  3. L. Wan-Yu, X. Kai, “A camera calibration method based on neural network optimized by genetic algorithm”, In proceeding of In proceeding of the International Conference on Systems, Man and Cybernetics, pp. 2748-2753, 2007.
  4. W. Tianbing, M. Qingchun, Z. Xiaodong, "A nonlinear distortion correction method in the vision system of robotic soccer", Technology and Application of Robot, no.4, pp. 37-40, 2002.
  5. Z. Yanzhen, O. Zongying, and X. Bingtang, "A distortion correction method of camera based on slope coefficient", MiniMicro System, Vol.23, No.5, pp. 625-627, 2002.
  6. C. Danhua, W. Weiyan, Z. Hunhe, “Study on Temperature Measurement using Image Color Based on BP Neural Network”, Chinese Journal of Sensors and Actuator, Vol. 20, No.2, pp. 343-345, 2007.
  7. D. Wang, J. Chen, “Prediction of cutting force using BP artificial neural network”, Journal of Dalian University of Technology, Vol. 45, No. 6, pp.814-818, 2005.
  8. D.M. Woo, D.C. Park, “An Efficient Method for Camera Calibration Using MultiLayer Perceptron Type Neural Network”, In proceeding of International Conference on Future Computer and Communication, pp. 358-362, 2009.
  9. G. Dong-yuan, Y. Xi-fan, “Camera Calibration and Precision Analysis Based on BP Neural Network”, In the proceedings of the 2nd International Congress on Image and Signal Processing (CISP 2009), pp. 1-5, 2009.
  10. L. Ma, Y.Q. Chen, and K.L. Moore, “A new analytical radial distortion model for camera calibration” CoRR: Computer Vision and Pattern Recognition, 2003.
  11. Chao Hu, Max Meng, Peter Xiaoping Liu, and Xiang Wang, “Image distortion correction for wireless capsule endoscope”, In Proceeding of IEEE International Conference on Robotics and Automation, Vol. 5, pp. 4718-4723, 2004.
  12. L. Han, “Artificial neural network theory, design and application”, Chemical Industry Press, pp. 258-263, 2007.
  13. OpenCV Wiki, Also available at http://opencv.willowgarage.com/documentation/index.html, [Last Accessed: 11 November 2010].
Index Terms

Computer Science
Information Sciences

Keywords

Geometrical Distortion Artificial Neural Network Undistortion

Powered by PhDFocusTM