X-ray Detector Deterioration Assessment via Statistical Image Analysis
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Solution Overview
Problem
Conventional industrial X-ray imaging apparatuses face difficulties in determining X-ray detector deterioration, leading to inconvenient and premature replacement of detectors when image quality degrades.
Innovation Solution
A deterioration determination method and device that acquire and process captured images to generate statistical information, allowing for accurate assessment of detector deterioration based on thresholds for average and standard deviation values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the X-ray detector is replaced when a user recognizes that the quality of the captured image is deteriorated, then the image quality is maintained, but the convenience of the industrial X-ray imaging apparatus for the user deteriorates due to premature replacement
Solution Approach 1:
The system implements automatic feedback by continuously monitoring captured images and comparing statistical parameters (standard deviation and average value) against reference values. This automated feedback mechanism replaces manual user assessment, providing objective deterioration detection that prevents both premature and delayed detector replacement, thereby maintaining image quality while improving user convenience through automation.
Solution Approach 2:
The patent replaces the mechanical/manual system of user-based image quality assessment with an automated computational system. The processor automatically calculates statistical parameters from captured images and compares them against reference data, substituting human judgment with algorithmic analysis to determine detector deterioration objectively and consistently.
2Measurement precision
If statistical processing information is generated from captured images, then accurate determination of detector deterioration is achieved, but the device complexity increases
Solution Approach 1:
The patent introduces statistical parameters (standard deviation and average value) as intermediary metrics between the raw captured images and the final deterioration determination. These statistical measures serve as mediators that simplify the complex task of image quality assessment into comparable numerical values, enabling accurate deterioration detection while maintaining manageable system complexity through standardized processing.
Data Source
AI summary
A deterioration determination method in a deterioration determination device configured to determine deterioration of an X-ray detector of an industrial X-ray imaging apparatus, the deterioration determination method including: an acquisition step of acquiring a captured image generated by the X-ray detector; a statistical processing step of generating statistical processing information of the captured image; and a determination step of determining whether or not the X-ray detector has been deteriorated, based on the statistical processing information.