Image Processing Apparatus Automatic Verification
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Solution Overview
Problem
The burden of visual verification for composite images created by adding additional images to original images is cumbersome, especially in cases like legal documents where automatic image combining is used, leading to increased labor due to the need for manual inspection across multiple pages.
Innovation Solution
An image processing apparatus that includes a composition section to create composite image data, a storage section to log combining conditions, a printing section to print the composite image, a scanning section to obtain second composite image data, and a judgment section to assess the condition of the additional image based on log information and scanned data, with a notification section to inform users of the judgment results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional images are combined automatically with original images, then productivity is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system performs automatic judgment on the combined images using judgment sections that analyze whether additional images are properly positioned and whether they overlap with important regions of original images. This feedback mechanism verifies the combining results and notifies users of any issues, ensuring precision while maintaining automatic processing efficiency.
Solution Approach 2:
The system performs preliminary judgment and verification automatically after image combining, identifying potential issues before final output. This preliminary action ensures that precision requirements are met while maintaining the efficiency benefits of automatic processing.
2Manufacturing precision
If visual verification is performed on all composite images, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The judgment sections extract and identify only the specific images that have combining issues, separating them from the large number of correctly combined images. Users only need to verify the extracted problematic images rather than manually checking every single composite image, significantly reducing verification time while maintaining accuracy.
Solution Approach 2:
Instead of performing full verification on all images, the system performs partial verification only on images that are judged to have potential issues. This selective approach reduces the time investment required for verification while ensuring that all problematic images are caught.
3Ease of operation
If automatic judgment is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system performs self-verification through judgment sections that automatically analyze combined images and identify issues without requiring manual intervention. The system serves itself by detecting and notifying users of problems, reducing operational burden despite the added complexity of the judgment mechanisms.
Data Source
AI summary
Combining section 21 creates the composite image data by combining the image data of the original image and the additional image, and log management section 22 stores the condition of composite images at the time of image combining as log information 40. Printer section 18 prints the composite image based on the composite image data, and a scanner section 16 optically reads the printed composite image. Judgment section 23 judges the condition of adding the additional image in the composite image (presence or absence of overlapping, etc.,) based on stored log information 40 and on the image data obtained by reading out the composite image, and notification control section 24 notifies the user of the judgment result either by displaying or by printing out.