Image Processing Apparatus for Efficient Damage Detection Review
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Solution Overview
Problem
Current image processing methods for detecting damage in photographic subjects, such as buildings or bridges, face inefficiencies in checking and revising detection results due to issues like omission, erroneous detection, and slow screen display, especially when dealing with large composite images.
Innovation Solution
An image processing apparatus and method that includes an image receiving unit, damage detection unit, image determination unit, display control unit, and detection result revising unit, which allows users to efficiently check and revise detection results by displaying check target images or partial images in a manner that fits the display region, with distinguishable display of detection results and user-input revisions, reducing time and avoiding resolution loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of images are checked and revised to ensure accurate damage detection, then detection accuracy is improved, but the time required for checking and revision increases significantly
Solution Approach 1:
The patent segments the checking and revision process by identifying and prioritizing 'check target images' among multiple captured images. The image determination unit classifies images based on damage detection results, capturing conditions, and image quality, allowing users to focus checking efforts on specific high-priority images rather than reviewing all images equally, thus reducing overall checking time while maintaining detection accuracy.
Solution Approach 2:
The patent applies local quality by displaying different images with different levels of detail and priority. Check target images are displayed with full resolution and prominent positioning, while non-critical images may be displayed summarily or omitted. This allows the system to allocate display resources and user attention selectively, reducing the time needed to review less critical areas while ensuring thorough checking of high-priority regions.
2Measurement precision
If the composite image is displayed at actual size to maintain resolution for accurate checking, then detection precision is improved, but screen display performance deteriorates due to slow display or display failure
Solution Approach 1:
The patent extracts and displays only the necessary portions of images - specifically the check target images - at full resolution, rather than displaying all captured images or entire composite images at maximum size. The display control unit selectively outputs images based on their priority classification, extracting only those images that require detailed user review, thereby maintaining resolution where needed while improving overall display performance.
Solution Approach 2:
The patent segments the display content into prioritized groups based on damage detection results and image quality. By dividing the display task into high-priority check target images and lower-priority images, the system can render high-resolution displays for critical areas without the performance penalty of rendering all images at full resolution simultaneously.
3Speed
If the composite image is reduced to improve screen display speed, then display performance is improved, but checking accuracy deteriorates due to decreased resolution
Solution Approach 1:
The patent implements local quality by assigning different display resolutions and priorities to different images based on their classification. Check target images are displayed at full resolution to maintain checking accuracy, while non-critical images may be displayed at lower resolution or summarized. This selective approach ensures that resolution is maintained where it matters most for damage detection while improving overall display speed.
4Manufacturing precision
If image processing such as overlapping and tilt correction is performed during composition to improve image quality, then manufacturing precision is improved, but the ability to check original damage detection accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by performing image composition processing (overlapping, tilt correction) in advance to generate high-quality composite images and detect damage. Then, in the checking phase, the system references both the processed composite images and the original captured images. This allows users to verify damage detection accuracy against original unprocessed images while benefiting from the quality improvements of composition processing.
Solution Approach 2:
The patent creates copies of original images through composition processing to generate improved composite images for initial damage detection. However, the system preserves the original captured images and uses them as reference copies during the checking phase, allowing users to verify detection accuracy against both the processed composite images and the original unprocessed images.
Data Source
AI summary
According to an aspect of the invention, among the individual images, a detection result for the check target image for which it is determined that a user is encouraged to check the detection result or a detection result for the partial image acquired by cutting a partial region from the check target image is displayed on the display device to encourage the user to check the detection result, and the detection result is revised on the basis of an instruction input by the user. Therefore, the image for which the detection result is to be checked is distinctively displayed, and the detection result for the image is revised on the basis of an instruction input by the user, which results in reduction in the time taken for checking and revision.