Camera Gain Adjustment via Grayscale Feedback for Scanning Systems
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Solution Overview
Problem
Existing methods for adjusting camera gain during object scanning, such as intraoral scanning, are inflexible, leading to inaccurate scanning results due to poor brightness control and overexposure issues.
Innovation Solution
A method that collects current frame images, selects a preset region for grayscale calculation, and adjusts camera gain based on calculated mean values and overexposure proportions across different brightness adjustment periods, including initial, stable, and abnormal periods, to optimize image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment method is used to control camera gain, then operator control is maintained, but adjustment flexibility and accuracy are poor
Solution Approach 1:
The system continuously monitors image brightness by calculating grayscale values from captured frames and uses this feedback to automatically adjust camera gain. The brightness calculation unit computes grayscale values from RGB components, and the gain adjustment unit modifies gain based on deviations from target brightness, creating a closed-loop control system that improves precision while maintaining operational simplicity.
Solution Approach 2:
The system performs self-adjustment of camera gain without requiring manual intervention. The gain adjustment unit automatically modifies the camera gain parameter based on real-time brightness calculations and control rules, enabling the system to service itself and maintain optimal brightness levels throughout the scanning process.
2Measurement precision
If continuous picture shooting and average brightness calculation is used, then brightness control is improved, but adjustment time and complexity increase
Solution Approach 1:
Instead of requiring multiple continuous pictures for brightness calculation, the system uses a single frame's grayscale value to determine gain adjustment. This partial action approach achieves sufficient brightness control precision without the time cost of capturing and processing multiple images, thereby reducing adjustment time while maintaining control quality.
Solution Approach 2:
The system pre-calculates grayscale values from RGB components using established formulas and pre-defines control rules for different brightness adjustment periods (initial, stable, abnormal). This preliminary preparation of calculation methods and control strategies enables rapid real-time adjustments without increasing processing time during actual scanning operations.
3Device complexity
If single grayscale value adjustment is used, then adjustment process is simple, but adaptability to different scanning scenarios is poor
Solution Approach 1:
The scanning process is segmented into three distinct brightness adjustment periods: initial adjustment period, stable period, and abnormal period. Each period has specific control rules tailored to its characteristics. This segmentation allows the system to adapt to different scanning scenarios by applying appropriate control strategies to each phase, improving versatility while maintaining manageable complexity through structured organization.
Solution Approach 2:
The system dynamically switches between different control rules based on the current brightness adjustment period and scene stability. The control unit adjusts gain using period-specific rules that adapt to changing scanning conditions, enabling the system to respond flexibly to various scenarios while keeping the overall adjustment process organized and manageable through dynamic rule selection.
Data Source
AI summary
The embodiments of the disclosure disclose a method and device for adjusting camera gain and a scanning system. The method includes: collecting a current frame image of a to-be-detected object; selecting a preset region in the current frame image for grayscale calculation to obtain a first calculation result; and adjusting camera gain in a corresponding brightness adjustment period based on the first calculation result.