Dual-Energy Radiographic ROI Evaluation for Thickness Correction
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Solution Overview
Problem
Existing radiographic inspection methods struggle to accurately select regions of interest due to unclear border lines between parts, leading to improper thickness correction and incomplete removal of substances from images.
Innovation Solution
A radiographic inspection system using dual-energy X-ray imaging with a radiation source that irradiates with different energy distributions, a detector to capture images, and a processing apparatus to evaluate the selection of the region of interest through thickness correction functions and evaluation coefficients, ensuring accurate selection and removal of substances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of region of interest is performed in dual-energy radiographic imaging, then the inspection process can be completed, but inaccurate region selection occurs when border lines between parts are unclear, leading to improper thickness correction
Solution Approach 1:
The system calculates an evaluation coefficient that provides feedback on the accuracy of the selected region of interest. This coefficient is computed by comparing the thickness correction function derived from the selected region with representative data from other regions. When the evaluation coefficient indicates insufficient accuracy, the system prompts the user to reselect the region, ensuring that only accurate selections proceed to thickness correction, thereby resolving the contradiction between completing the inspection process and ensuring correction accuracy.
Solution Approach 2:
The system performs preliminary evaluation of the selected region of interest before executing the thickness correction. By calculating the evaluation coefficient in advance and verifying it meets accuracy thresholds, the system ensures that thickness correction is only applied when the region selection is accurate. This preliminary validation prevents improper correction from occurring, resolving the contradiction between process completion and correction reliability.
2Manufacturing precision
If energy subtraction method is applied to remove substance images, then substance removal can be achieved, but incomplete removal occurs when region selection is inaccurate
Solution Approach 1:
The evaluation coefficient serves as a feedback mechanism that verifies the quality of region selection before substance removal is attempted. By ensuring the evaluation coefficient indicates high accuracy, the system guarantees that the energy subtraction method will be applied to the correct region, achieving complete substance removal without requiring complex manual selection procedures.
Solution Approach 2:
The system replaces complex manual region selection with an automated evaluation mechanism. Instead of relying on users to manually identify and select regions with unclear borders, the system automatically calculates the evaluation coefficient to verify selection accuracy, substituting mechanical/manual operations with automated computational verification to achieve complete substance removal.
3Productivity
If thickness correction is performed without evaluation, then the inspection process is faster, but incorrect correction is applied when region selection is improper
Solution Approach 1:
The system performs a preliminary calculation of the evaluation coefficient before executing thickness correction. This preliminary action quickly assesses whether the selected region is appropriate for correction. The evaluation is computationally efficient and does not significantly slow down the inspection process, while ensuring that only accurate region selections proceed to thickness correction, thus maintaining both speed and precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise evaluation of region selection, allowing for effective thickness correction and appropriate removal of substances from images, improving the accuracy of radiographic inspections.
Implementation Method 1
a radiation source configured to irradiate the article with a radiation having a first energy distribution and a radiation having a second energy distribution
Implementation Method 2
a detector configured to detect a radiation with which irradiation is performed from the radiation source, which is transmitted through the article, and which has the first energy distribution, and a radiation with which irradiation is performed from the radiation source, which is transmitted through the article, and which has the second energy distribution
Data Source
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AI summary
A radiographic inspection apparatus acquires a first image and a second image; receives an input of selection of a region of interest in a region corresponding to an article in the first image or the second image; specifies respective first pixel values of a plurality of first pixels and respective second pixel values of a plurality of second pixels corresponding to the plurality of first pixels, and calculates a thickness correction function by approximating a relationship between the first pixel values and the second pixel values corresponding to the first pixel values; calculates a plurality of pieces of representative data each of which is a combination of a first representative value and a second representative value on the basis of the respective first pixel values of the plurality of first pixels and the respective second pixel values of the plurality of second pixels corresponding to the plurality of first pixels; and calculates an evaluation coefficient based on a correlation between the thickness correction function and the plurality of pieces of calculated representative data.