Moving Image Resolution Evaluation Using Edge Scanning
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Solution Overview
Problem
Conventional methods for evaluating moving image resolution on LCD devices are subjective and difficult to quantify, with human observation methods yielding inconsistent results and short time Fourier transform methods producing irregular and hard-to-quantify results.
Innovation Solution
A method involving displaying a test pattern, removing noise, detecting and emphasizing edge regions, scanning these regions by rotating a reference line, and analyzing the pattern to compare with the original test pattern, allowing for quantitative evaluation of moving image resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a direct evaluation method by an inspector's naked eyes is used, then the evaluation process is simple and quick, but the test results are inconsistent and difficult to quantify due to differences between inspectors
Solution Approach 1:
The patent replaces the human inspector's visual evaluation system with an automated image processing system that captures the test pattern, detects edge regions, and analyzes them through systematic processing steps including noise removal, edge detection, and pattern recognition, thereby eliminating human subjectivity while maintaining operational simplicity
Solution Approach 2:
The patent introduces an intermediary automated analysis system that acts as a mediator between the test pattern display and the evaluation result. This intermediary system processes the visual information through standardized algorithms, ensuring consistent and quantifiable results without direct human involvement in the measurement process
2Extent of automation
If a short time Fourier transform method is used, then an automated evaluation approach is achieved, but the test results are irregular and difficult to quantify
Solution Approach 1:
The patent extracts the essential evaluation information by isolating and analyzing only the edge regions of the test pattern. By focusing specifically on edge detection and pattern recognition rather than analyzing the entire image spectrum, the system achieves automated evaluation with consistent and quantifiable results
Solution Approach 2:
The patent utilizes changes in image intensity and contrast at edge regions to identify and analyze the test pattern structure. By detecting transitions and variations in pixel values at edges, the system transforms the visual information into quantifiable data that can be consistently measured and evaluated
3Loss of time
If noise is not removed from the image, then the processing time is reduced, but the evaluation accuracy decreases due to noise interference
Solution Approach 1:
The patent performs preliminary noise removal processing on the captured image before proceeding to edge detection and pattern analysis. By eliminating noise in advance, the system ensures that subsequent processing steps work with clean data, improving evaluation accuracy without significantly increasing overall processing time
Data Source
AI summary
Disclosed is a method for evaluating a moving image resolution capable of quantitatively evaluating a moving image resolution for a display device. The method comprises displaying a test pattern on a screen, and moving the test pattern in a predetermined direction; obtaining an image of the test pattern on the screen; removing noise from the image; detecting edge regions of the image having noise removed therefrom; emphasizing the detected edge regions; scanning the emphasized edge regions by rotating any reference line a plurality of times, the reference line passing through a center point of the emphasized edge regions; and analyzing a pattern of the scanned result, and comparing it with the original test pattern.