Imaging Performance Evaluation System Using Color-Coded Test Chart Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for evaluating the performance of imaging devices using test chart images are limited, as they provide discrete and directional measurements, lacking correlation with actual performance, especially in visual sensory evaluations and optical character recognition, and present results in a format that makes comparison difficult.
Innovation Solution
An evaluation system comprising an input unit, evaluation unit, and display unit that inputs a test chart image, evaluates performance using characters with constant line thickness, and generates an evaluation image representing resolution and chromatic performance with color coding, allowing for comprehensive and understandable performance representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If discrete measurement locations are used in test chart image evaluation, then the evaluation process is simple, but arbitrary locations cannot be evaluated and the correlation with actual performance is poor
Solution Approach 1:
The patent divides the evaluation into two parts: first, discrete measurement points are evaluated using traditional methods; second, the entire image is evaluated using information processing. This segmentation allows both simple discrete measurements and comprehensive overall evaluation to coexist, resolving the contradiction between measurement precision and system complexity.
Solution Approach 2:
The patent introduces an information processing unit as an intermediary that bridges the discrete measurement points and the overall image evaluation. This intermediary processes the discrete measurements and generates comprehensive evaluation information, enabling arbitrary location evaluation without significantly increasing system complexity.
2Measurement precision
If evaluation is performed only in specific directions (horizontal or vertical), then the evaluation method is simple, but the correlation with actual performance in all directions is insufficient
Solution Approach 1:
The patent adds a new dimension to evaluation by processing images in multiple directions (horizontal, vertical, and diagonal) and combining these evaluations. This dimensional expansion allows comprehensive evaluation of all directions while maintaining the simplicity of individual directional measurements, thus resolving the contradiction between evaluation comprehensiveness and method complexity.
3Ease of operation
If test chart image evaluation is used, then the evaluation process is straightforward, but the presentation format (graph in specific direction) makes it difficult to understand correspondence with actual performance
Solution Approach 1:
The patent creates a visual copy of the test chart image and overlays evaluation information directly onto this copy. This allows users to see the correspondence between the actual image and evaluation results simultaneously, preserving all performance information while maintaining ease of operation. The evaluation information is presented in the same spatial context as the original image, eliminating the loss of correspondence information.
Data Source
AI summary
An evaluation system includes an input unit that inputs a test chart image acquired by imaging a test chart including a plurality of characters, an evaluation unit that evaluates performance of an imaging unit using the test chart image, an image generation unit that generates an evaluation image representing an evaluation of the evaluation unit at each position on the test chart image with a color, and a display unit that displays the evaluation image along with the test chart image or in a superimposed manner on the test chart image.


