Camera Optical Center Detection Using Grayscale Reference Points
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Solution Overview
Problem
Conventional methods for determining the optical center of a camera lens require extensive data processing, particularly with increasing pixel points, leading to a significant burden and inefficiency in image processing.
Innovation Solution
An optical center determination method that involves obtaining reference lines by connecting edge points with the largest distance, determining reference points with grayscale values in a preset ratio to a grayscale peak, and using auxiliary points to calculate the optical center position, reducing the need for processing all pixel points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If grayscale values of all pixel points are calculated to determine optical center, then measurement precision is improved, but computational burden increases significantly
Solution Approach 1:
The patent segments the image processing task by selecting only specific pixel points (corner points and center point) instead of processing all pixel points. This segmentation approach maintains measurement precision while significantly reducing computational complexity by dividing the full image into key regions of interest.
Solution Approach 2:
The patent extracts only the necessary pixel points (corner points and center point) from the entire image for optical center determination. By taking out only the essential data points needed for calculation, the method reduces data processing burden while preserving accuracy.
2Measurement precision
If the number of pixel points in the image increases, then image resolution is improved, but data processing burden increases
Solution Approach 1:
The patent applies segmentation by processing only specific key points rather than the entire high-resolution image. This allows the method to maintain accuracy benefits from high pixel counts while avoiding the proportional increase in processing burden that would result from analyzing all pixels.
Solution Approach 2:
The patent uses partial action by calculating grayscale values only for essential pixel points (corner and center points) rather than all pixel points. This partial processing approach provides sufficient information for optical center determination without the excessive computational cost of complete image processing.
3Measurement precision
If conventional centroid calculation method is used, then optical center position can be determined, but processing time increases
Solution Approach 1:
The patent extracts only the essential pixel points needed for optical center calculation - specifically corner points and center point - rather than using all pixel points in centroid calculation. This extraction reduces processing time significantly while maintaining position accuracy.
Solution Approach 2:
The patent applies partial action by performing grayscale calculations only on selected key points rather than the complete set of pixel points required by conventional centroid methods. This partial processing achieves the necessary measurement precision with reduced time investment.
Data Source
AI summary
Provided are an optical center determination method and apparatus, an electronic device, and a medium. The optical center determination method includes: obtaining at least one reference line by connecting edge points with the largest distance therebetween in a target image; determining, on the at least one reference line, at least two reference points with grayscale values in a preset ratio to a grayscale peak value, and determining the position information of an optical center is according to the at least two reference points and auxiliary points with grayscale values consistent with the grayscale value of a reference point.