Signed Distance Field Generation for Overlapping Text Curves
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Solution Overview
Problem
Existing methods for generating signed distance field images of text with multiple closed curves overlap inaccurately determine pixel positions, leading to incorrect signed distance field images.
Innovation Solution
A method that determines a target closed curve and origin, draws triangles using adjacent sample points, and performs counting based on clockwise or counterclockwise directions to accurately identify pixels within the interior or exterior regions of the text, using increment or decrement by N per count, and generates a signed distance field image based on these determinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accumulative counting is performed for pixels within triangles to determine interior/exterior regions, then the process can identify pixel positions, but inaccurate position information is obtained for pixels in overlapping regions of multiple closed curves
Solution Approach 1:
The patent divides the counting process into directional segments by introducing drawing direction concepts (clockwise/counterclockwise). Instead of a single accumulative count, the method segments the counting based on the direction in which triangles are drawn, allowing accurate differentiation of overlapping regions by tracking directional crossings of closed curves.
Solution Approach 2:
The patent inverts the traditional counting approach by introducing a drawing direction parameter that can be clockwise or counterclockwise. This inversion allows the system to distinguish between different types of region crossings, enabling accurate determination of interior/exterior status even in overlapping regions where conventional counting fails.
2Ease of manufacture
If conventional accumulative counting is used to determine pixel regions, then the method is simple to implement, but it cannot accurately handle text with multiple closed curves that overlap
Solution Approach 1:
The patent introduces dynamic drawing directions (clockwise/counterclockwise) that can change based on the specific triangle being processed. This dynamic approach allows the counting method to adapt to different geometric configurations of closed curves, maintaining accuracy for complex overlapping structures while remaining implementable through systematic directional tracking.
Data Source
AI summary
A method for generating a signed distance field image, methods for processing a text effect, a device and a medium are provided. The method for generating a signed distance field image includes: determining a target closed curve in an unsigned distance field image of target text, drawing a target triangle; counting for pixels within the target triangle; determining that pixels having counting results equal to 0 in the unsigned distance field image are located in an interior region of the target text, and determining that pixels having counting results not equal to 0 in the unsigned distance field image are located in the exterior region; and generating a signed distance field image of the target text based on the pixels located in the exterior region, the pixels located in the interior region, and the unsigned distance field image.