Image-Forming and Reading Defect Diagnosis via Read-Image Segmentation
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Solution Overview
Problem
Distinguishing between defective images caused by the image forming section or the reading section requires multiple read images, increasing user time and effort in diagnosis.
Innovation Solution
An information processing system that acquires a read image with a first and second range, generating a screen indicating the cause of defective images within these ranges, allowing for efficient diagnosis without multiple image preparations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple read images with different reading directions are used to diagnose defective images, then the accuracy of identifying the defect source (image forming section or reading section) is improved, but the time and effort required for users to prepare the read images increases
Solution Approach 1:
The patent segments the read image into multiple ranges (first range and second range) along the reading direction. The processor analyzes defective images in the first range to diagnose the image forming section, and defective images in the second range to diagnose the reading section. This segmentation allows accurate diagnosis using a single read image, eliminating the need to prepare multiple read images with different reading directions while maintaining high diagnosis accuracy.
2Reliability
If multiple read images with different reading directions are used to diagnose defective images, then the reliability of defect source identification is improved, but the operational complexity for users increases
Solution Approach 1:
The patent divides the read image into a first range and a second range based on the reading direction. The processor automatically identifies defective images in each range and generates appropriate diagnosis information. This segmentation approach maintains high reliability in defect source identification while simplifying user operation, as users only need to provide a single read image rather than multiple images in different reading directions.
Solution Approach 2:
The processor automatically performs the diagnosis by analyzing the read image and identifying defective images in different ranges. The system self-services the diagnosis process by automatically determining whether defects originate from the image forming section or the reading section, eliminating the need for users to manually prepare multiple read images or perform complex analysis operations.
3Productivity
If a single read image is used for diagnosis, then the time and effort for image preparation is reduced, but the ability to distinguish between image forming section and reading section defects is insufficient
Solution Approach 1:
The patent segments the read image into a first range and a second range along the reading direction. The processor is configured to diagnose the image forming section based on defective images in the first range and diagnose the reading section based on defective images in the second range. This segmentation enables accurate defect source discrimination using only a single read image, thereby maintaining high diagnosis efficiency without sacrificing diagnostic accuracy.
Data Source
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AI summary
An information processing system includes a processor configured to: acquire a read image that is an image obtained in a manner that an image reading section reads a diagnosis image of a recording medium, which is output by an image forming section, the read image including a first range that is a range of the recording medium and a second range that is a range extending from the first range in a reading direction of the image reading section; and generate a screen including information regarding the image forming section in a case where a defective image is in the first range as a result of diagnosing the acquired read image, and including information regarding the image reading section in a case where the defective image is in the second range as the result of diagnosing the acquired read image.