Radiographic IQI Line Detection for Automated Wire Count Evaluation
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Solution Overview
Problem
Existing methods for evaluating the quality of radiographic testing film images rely on manual inspection, which is subjective and time-consuming, lacking objectivity and efficiency.
Innovation Solution
A device and method that utilize image processing techniques to preprocess, binarize, and detect lines in wire area images from radiographic images, count the number of wires, and evaluate image quality based on predefined standards, using preprocessing units, binarization units, line detection units, and evaluation units to automate the quality assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection is used to evaluate radiographic testing film images, then the evaluation can be performed with simple equipment, but the inspection time is long and the results are subjective
Solution Approach 1:
The patent replaces manual visual inspection with an automated image processing system that uses computational algorithms to detect and count wires in radiographic images. The system substitutes human eyes and brain with digital image processing techniques, including thresholding, morphological operations, and pattern recognition, thereby eliminating subjectivity and significantly increasing inspection speed.
Solution Approach 2:
The evaluation system performs self-service by automatically analyzing its own output. The processed radiographic images are fed back into the system for automated quality assessment without requiring external manual evaluation. The system counts wires, evaluates image quality, and generates reports autonomously, making the inspection process efficient and repeatable.
2Measurement precision
If manual wire counting is performed, then the equipment required is simple, but the measurement precision and objectivity are reduced
Solution Approach 1:
The patent replaces manual wire counting with automated digital image processing. The system uses thresholding algorithms to separate wires from the background, morphological operations to enhance wire structures, and pattern recognition to accurately count individual wires. This substitution eliminates human error and provides consistent, objective measurements of wire quantity and distribution.
Solution Approach 2:
The image processing system segments the radiographic image into distinct regions and features. It divides the image into manageable sections, identifies individual wire structures through edge detection and pattern recognition, and counts them separately. This segmentation approach allows precise measurement of wire quantity, distribution, and morphology without interference from other image features.
Data Source
AI summary
A device for evaluating quality of a radiographic testing image and a method therefor are proposed, and the method includes, when a wire area image is input which is an image of an area where wires of each Image Quality Indicator (IQI) exist in a radiographic image of a target object that is attached with one or more image quality indicators and radiographed through radiation, a step of preprocessing, by a preprocessing unit, the wire area image, a step of binarizing, by a binarization unit, the wire area image, a step of detecting, by a line detection unit, lines in the wire area image, a step of counting, by a counting unit, the number of wires of each image quality indicator according to the detected lines, and a step of evaluating, by an evaluation unit, a quality of the radiographic image according to the number of counted wires.