Chart with Positional Figures for Image Abnormality Detection
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Solution Overview
Problem
Current image forming apparatuses face challenges in accurately determining and correcting for abnormalities in printed images, particularly due to limitations in image resolution and clarity when using digital cameras or smartphone cameras for reading charts, which can lead to unclear identification of abnormality positions and densities.
Innovation Solution
The implementation of a chart with multiple area images, each including a figure indicating positional information and a correction pattern, allows for accurate determination of abnormality positions and density corrections using image processing circuitry and a smartphone camera, which captures and processes images to adjust for varying brightness and density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a chart is read using a digital camera or smartphone camera, then the operation becomes simple and accessible, but the image resolution and clarity become insufficient, leading to unclear identification of abnormality positions and densities
Solution Approach 1:
The chart is divided into multiple area images, each representing a specific position on the image forming apparatus. Each area image contains a figure indicating its positional information, allowing segmentation of the overall chart into manageable, identifiable segments that can be clearly recognized even with lower resolution cameras
Solution Approach 2:
Each area image is designed with specific local characteristics including a figure indicating positional information and a correction pattern with specific density. This local quality enhancement ensures that each segment can be clearly identified and measured even when captured by lower-resolution mobile devices
2Measurement precision
If multiple area images are included in the chart with positional information figures, then the accuracy of determining abnormality positions is improved, but the complexity of the chart increases
Solution Approach 1:
The chart is segmented into multiple area images, each with a simple figure indicating its position. This segmentation allows precise identification of abnormality positions without requiring complex overall chart designs, as each segment is self-contained and clearly marked
Solution Approach 2:
Positional information figures are pre-included in each area image before the actual measurement process. This preliminary action of marking positions in advance simplifies the subsequent analysis process, as the position identification is already built into the chart structure
3Measurement precision
If a correction pattern is added to each area image, then the accuracy of density correction is improved, but the manufacturing complexity of the chart increases
Solution Approach 1:
The correction pattern is merged with each area image, combining the positional identification figure and the density correction pattern into a single integrated element. This merging allows the chart to serve multiple functions simultaneously without requiring separate components, simplifying the overall manufacturing process
Solution Approach 2:
Each area image serves multiple functions: it identifies position through its figure and provides density correction through its correction pattern. This multi-functionality reduces the need for separate elements, making the chart easier to manufacture while maintaining high measurement precision
Data Source
AI summary
A chart includes a plurality of area images. Each area image of the plurality of area images includes a figure. The figure indicates positional information of each area image of the plurality of area images in the chart. An image forming apparatus includes an image forming device configured to form an image on a sheet to create the chart, and an image reading device configured to read the image in the chart.