The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model | Zendy

Sakonthawat Inban | Zendy; Nopadol Uchaipichat | Zendy; Nitikarn Nimsuk | Zendy

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

Author(s) -

Sakonthawat Inban,

Nopadol Uchaipichat,

Nitikarn Nimsuk

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/1701-2230

Subject(s) - computer science , artificial neural network , image (mathematics) , development (topology) , artificial intelligence , digital image , computer vision , image processing , mathematics , mathematical analysis

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 . 10 -4 1. 10 -2 pixel of mean square error along the x axis and . 10 -4 1. 10 -2 pixel of mean square error along the y axis. KeywordsDistortion, Artificial Neural Network, Undistortion

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