Laser Imaging Pixel-Row Assignment for Uneven Laser Spacing
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Solution Overview
Problem
Existing laser imaging systems face inaccuracies due to inconsistent spacings between lasers caused by installation errors, leading to gaps or overlaps in the scanned image, which affect imaging quality.
Innovation Solution
An image data processing method that adjusts pixel row assignment based on actual gap distances between adjacent lasers, increasing image resolution where necessary to ensure accurate alignment of pixel rows, thereby minimizing deviations and improving imaging accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the same number of pixel rows are assigned to each laser for scanning, then the processing is simple and efficient, but the imaging accuracy deteriorates due to gaps or overlaps caused by inconsistent laser spacings
Solution Approach 1:
The patent applies local quality by adjusting the number of pixel rows assigned to each laser based on its specific spacing characteristics. Instead of uniform assignment, the system calculates the actual spacing of each laser and dynamically assigns an appropriate number of pixel rows to ensure consistent coverage, eliminating gaps or overlaps while maintaining processing efficiency.
Solution Approach 2:
The patent changes the parameter of pixel row assignment from a fixed uniform value to a variable value based on laser spacing measurements. By measuring the actual spacing of each laser and using this information to determine the number of pixel rows to assign, the system adapts to real physical conditions and achieves accurate imaging without requiring complex real-time adjustments during scanning.
2Manufacturing precision
If the laser spacings are adjusted to compensate for installation errors, then the imaging accuracy improves, but the device complexity increases due to additional measurement and calculation requirements
Solution Approach 1:
The patent applies preliminary action by measuring and calculating the spacing of each laser before the actual scanning process begins. The system performs these measurements and calculations in advance, stores the results, and uses them to pre-determine the optimal number of pixel rows for each laser. This eliminates the need for complex real-time adjustments during scanning, as all necessary corrections have already been computed beforehand.
Data Source
AI summary
The embodiments of the disclosure provide an image data processing method for laser imaging, a computer device and a computer-readable storage medium. In the embodiments, in case where the gap distance corresponding to a previous laser is not an integer multiple of the preset width of pixel row, the image resolution for a scan area associated with a next adjacent laser is increased to the second resolution to decrease the width of pixel row in the associated scan area, thereby more pixel rows may be obtained in the same area in the raw scan image, and the pixel rows closer to the position actually scanned by the laser spot may be selected as the target pixel rows, which may decrease the deviation between the position of the pixel row actually scanned by the laser and the theoretical position of the pixel row, and further improve the laser scan imaging accuracy.