3D Printing Slice Image Grayscale Compensation for Sub-Pixel Sizing
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Solution Overview
Problem
Current 3D printing technologies face challenges in achieving accurate size adjustments, particularly for small size adjustments below the pixel level, due to curing contraction of photosensitive resin materials, which can lead to printing residues and reduced accuracy.
Innovation Solution
A method and system for processing slice images in 3D printing that involves determining a size adjustment value and grayscale compensation parameter based on the slice image, applying grayscale processing to edge pixels to compensate for size deviations, and using these processed images for printing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If size adjustment is performed by inward or outward offsetting image contour, then large size adjustment can be achieved, but accurate size adjustment below pixel level cannot be met
Solution Approach 1:
The patent changes the parameter representation from binary (inward/outward offset) to continuous (grayscale values 0-255). By mapping grayscale values to size adjustment amounts, the system achieves sub-pixel level precision. Each grayscale value corresponds to a specific adjustment amount, allowing fine-grained control beyond the discrete pixel level.
Solution Approach 2:
The patent introduces a new dimension of control by using grayscale intensity values instead of simple spatial offset. This transforms the adjustment mechanism from a one-dimensional spatial operation to a two-dimensional operation involving both position and intensity, enabling precise control of size adjustment at the pixel level and below.
2Productivity
If large-area solid exposure surface is continuously exposed, then printing coverage is improved, but printing residues occur and accuracy decreases
Solution Approach 1:
The patent applies different grayscale values to different regions of the exposure surface, creating local variations in exposure intensity. Edge pixels receive different grayscale treatment compared to internal pixels, allowing localized control of curing behavior. This prevents uniform over-exposure of large areas while maintaining overall printing coverage.
Solution Approach 2:
The patent uses grayscale compensation to apply partial exposure action to edge pixels rather than full exposure. By reducing the exposure intensity (grayscale value) at edges compared to the center, the system prevents the excessive action that leads to residues, while still achieving complete coverage through the overall exposure process.
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 approach enables accurate size adjustment requirements to be met, reducing printing residues and improving the accuracy of 3D printing by compensating for edge pixel errors in the slice images.
Implementation Method 1
The technology uses the principle of curing a liquid photosensitive resin after irradiating the liquid photosensitive resin with a light projector
Data Source
AI summary
Disclosed in the disclosure are a method, system and apparatus for processing slice image for 3D printing, and a storage medium. The method includes: acquiring a slice image of a three-dimensional model, and a relationship between a grayscale compensation parameter and a size adjustment value; determining at least one size adjustment value according to the slice image; determining at least one grayscale compensation parameter according to the at least one size adjustment value and the relationship between the grayscale compensation parameter and the size adjustment value; and respectively performing grayscale processing on edge pixels of corresponding contours in the slice image according to the plurality of grayscale compensation parameters, where the processed slice image is used for 3D printing.