Ultrasonic Inspection Image Region Segmentation for Position Determination
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Solution Overview
Problem
In ultrasonic inspections, accurately determining the relative position of a specific target within a cross-section of an object to the entire object is challenging, which can lead to incomplete or inaccurate evaluations of the object's soundness.
Innovation Solution
A computer-readable recording medium stores an information processing program that specifies regions from a nondestructive inspection image, including a recess-free shape, a detection target, and a reference object. It then uses straight lines to divide and orient these regions within a coordinate system, allowing for precise output of the target's position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ultrasonic inspection methods are used to identify target positions, then the inspection process is simple, but the position determination accuracy is insufficient
Solution Approach 1:
The inspection image is segmented into multiple regions including the object region, detection target region, and reference object region. By dividing the image into distinct segments, the system can precisely identify the relative positions of targets within the object without requiring complex external positioning equipment.
Solution Approach 2:
A coordinate system is introduced as an intermediary to represent the relative positions of detection targets and reference objects. This coordinate system acts as a mediator that translates complex spatial relationships into quantifiable positional data, improving measurement precision while maintaining processing simplicity.
2Reliability
If the relative position of detection targets is not accurately determined, then the inspection process remains simple, but the evaluation of object soundness becomes incomplete or inaccurate
Solution Approach 1:
The system performs preliminary segmentation of the inspection image to identify and separate the object region, detection target region, and reference object region before conducting position analysis. This preliminary action ensures that subsequent position measurements are based on accurately identified regions, improving evaluation reliability.
Solution Approach 2:
The patent introduces a coordinate system dimension to represent relative positions quantitatively. By adding this dimensional representation, the system transforms qualitative spatial relationships into measurable positional data, making position detection more systematic and reliable without significantly increasing measurement difficulty.
3Measurement precision
If no coordinate system is used for position representation, then the processing is simpler, but the position information output is less precise
Solution Approach 1:
A coordinate system is introduced as an intermediary to represent the relative positions of detection targets and reference objects. This coordinate system acts as a mediator that translates complex spatial relationships into quantifiable positional data, improving measurement precision while maintaining processing simplicity.
Solution Approach 2:
The system changes the parameter representation from qualitative spatial descriptions to quantitative coordinate values. By expressing positions as numerical coordinates within the established coordinate system, the precision of position information is significantly improved while the processing remains systematic and manageable.
Data Source
AI summary
There is disclosed a non-transitory computer-readable recording medium having stored therein an information processing program for causing a computer to execute a process. The process includes: specifying a first region, a second region and a third region from a nondestructive inspection image, the first region corresponding to a recess-free shape, the second region corresponding to a detection target included in the recess-free shape, the third region corresponding to a reference object included in the recess-free shape; specifying a first straight line that divides the first region into two and that passes through the third region; obtaining two intersections of the first straight line and an outer circumference of the recess-free shape; specifying a second straight line that passes through a center point of the two intersections and that is orthogonal to the first straight line; and outputting information indicative of a position of the detection target in the nondestructive inspection image, using a coordinate system using the first straight line and the second straight line as axes.