3D Radiological Imaging of Moving Samples With Sparse Feature Points
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Solution Overview
Problem
Existing industrial inspection methods face challenges in achieving high-speed and accurate three-dimensional imaging of moving samples due to time constraints and image distortion, limiting the ability to perform comprehensive inspections on products like batteries and engines.
Innovation Solution
A method and electronic device that generates a three-dimensional image of a moving sample using a conveyor belt, employing a radiation irradiation device and detector to capture radiological images, determine feature points, and reconstruct a 3D image in real-time, reducing inspection time and data size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are captured to ensure imaging accuracy, then image accuracy for pass/fail determination is improved, but inspection time increases significantly
Solution Approach 1:
The patent segments the inspection process by capturing images only at specific angular positions (e.g., 0°, 45°, 90°, 135°) rather than continuously, dividing the full 360° rotation into discrete segments. This reduces the number of images from potentially dozens to just four, maintaining sufficient accuracy for pass/fail determination while dramatically reducing inspection time.
Solution Approach 2:
The patent applies partial action by capturing images at only four key angular positions instead of continuously capturing images throughout the entire 360° rotation. This selective sampling provides sufficient data for accurate 3D reconstruction and defect detection without the time cost of continuous capture, achieving the minimum necessary action for reliable inspection.
2Productivity
If conventional 2D fluoroscopic inspection is used for high-speed inspection, then inspection speed is improved, but image distortion and overlapping make defect identification difficult
Solution Approach 1:
The patent transitions from 2D fluoroscopic imaging to 3D tomosynthesis by capturing multiple radiological images at different angular positions around the sample. This adds the angular dimension to the imaging process, enabling reconstruction of three-dimensional images that eliminate the overlapping and distortion problems inherent in 2D projections, while maintaining high inspection speed through the automated rotation process.
3Measurement precision
If CT inspection is used to eliminate distortion and overlap, then image accuracy is improved, but inspection time becomes excessively long
Solution Approach 1:
The patent segments the CT scanning process by acquiring images at only four discrete angular positions (0°, 45°, 90°, 135°) rather than continuously scanning through 360°. This segmented approach provides sufficient data for accurate 3D reconstruction and defect detection while reducing the inspection time to a fraction of conventional CT methods, achieving both high accuracy and acceptable inspection speed.
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 accurate 3D imaging of moving samples without separate chambers, reducing inspection time and data size while increasing inspection speed and accuracy.
Implementation Method 1
a radiation irradiation device and a detector having two-dimensionally arranged pixels to acquire a plurality of radiological images
Data Source
AI summary
Disclosed are a three-dimensional image generation method and an electronic device for performing same, according to various embodiments. The electronic device according to one embodiment of the present invention comprises: an image capture device for acquiring a plurality of radiological images for a sample moving on a transport device; and a processor, wherein the processor can: determine feature points of the plurality of radiological images, for reconstructing a three-dimensional image of the sample; use the location of the feature points to calculate the location information of the feature points; generate a feature point image on the basis of the location information; and generate the three-dimensional image by using the feature point image and the location information.