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Image Recovery Using Nonlinear Modeling of Industrial Radiography  

Hwang, Jung-Won (Dept. of Electronics Computer Engin., Hanyang University)
Hwang, Jae-Ho (Dept. of Electronic Engin., Hanbat National University)
Publication Information
Abstract
This paper presents a methodology for recovering the industrial radiographic images from the effects of nonlinear distortion. Analytical approach based on the inverse square law and Beer's law is developed in order to improve a mathematic model of nonlinear type. The geometric effect due to dimensions of the radioactive source appeals on the digitized images. The relation that expresses parameters values(angle, position, absorption coefficient, length, width and pixel account) is defined in this model, matching with the sample image. To perform the search for image recovery most similar to the model, a correction procedure is designed. The application of this method on the radiographic images of steel tubes is shown and recovered results are discussed.
Keywords
Industrial radiography; Image recovery; Nonlinear model; Steel-tube;
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