Flexible Panel Imaging Ratio Correction via Curvature Feedback
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Solution Overview
Problem
Existing image processing technologies for flat panels are inadequate for flexible panels, leading to imaging distortion due to bending, which affects the accuracy of images captured, particularly in scenarios like fingerprint recognition.
Innovation Solution
A method to determine the imaging ratio of a flexible panel by adjusting its curvature radius and calculating it based on real-time images formed after light reflection, using a light source and photoelectric sensing module, to correct imaging distortions and achieve an image size approximate to the actual object size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing image processing technology for flat panels is used, then the device structure is simple, but imaging distortion occurs due to flexible panel bending
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the imaging ratio based on the curvature radius of the flexible panel. The system calculates the curvature radius in real-time and uses it to determine the appropriate imaging ratio, thereby compensating for distortion caused by panel bending and improving imaging accuracy without adding complex hardware.
2Measurement precision
If the curvature radius is adjusted to change imaging characteristics, then imaging accuracy improves, but the system complexity increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the curvature radius of the flexible panel and using this information to dynamically adjust the imaging ratio. The system calculates the curvature radius based on real-time imaging data and feeds this information back to the image processing algorithm, creating a closed-loop system that maintains imaging accuracy despite panel deformation.
3Reliability
If real-time curvature radius calculation is performed, then imaging distortion is corrected, but processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing the relationship between curvature radius and imaging ratio through mathematical modeling. The system uses the formula k=2(r-h)/r to calculate the imaging ratio based on the measured curvature radius, where the relationship is determined in advance through theoretical derivation rather than requiring complex real-time optimization, thus reducing processing time while maintaining accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for accurate imaging of flexible panels by correcting distortions caused by bending, improving the accuracy of images captured, such as fingerprints, regardless of the panel's bending degree, enhancing user experience and recognition accuracy.
Implementation Method 1
a light signal emitted from the light source is reflected by the first surface of the flexible panel
Implementation Method 2
the reflection light passes through the flexible panel, enters and is absorbed by the photoelectric sensing module
Data Source
AI summary
Method for determining imaging ratio of flexible panel, electronic device and storage medium are provided. A first surface of the flexible panel is adapted to be placed with an object to be imaged, an image capturing device is disposed on the second surface, and a curvature radius of the first surface is adjustable. The method includes: for a light source in the image capturing device, acquiring a real-time image formed on the image capturing device after a light signal emitted from the light source is reflected by the first surface; determining a real-time curvature radius of the first surface based on the real-time image; and calculating the imaging ratio based on the real-time curvature radius and thickness of the flexible panel. The imaging ratio is determined based on bending degree of the flexible panel in real time to acquire an image with size approximate to actual size of the object.