Image Calibration Using Pattern Analysis Blocks
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Solution Overview
Problem
Current image calibration methods face challenges in accurately calibrating image distortions due to imperfect simulation of optical factors and complex backgrounds, leading to ineffective or mistaken calibration results.
Innovation Solution
An image calibration method and apparatus that utilize a calibration pattern with frames and analysis blocks containing characteristic patterns to perform displacement, scaling ratio, rotation, or keystone calibration, allowing for precise image correction based on the positions of these patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex mathematic modules are used to simulate physical behavior for calibration, then calibration capability is improved, but reliability deteriorates due to imperfect optical simulation and complex backgrounds
Solution Approach 1:
The patent introduces a calibration pattern as an intermediary object between the image apparatus and the calibration process. This pattern contains known geometric features (lines, circles, arcs) that serve as reference markers, allowing the system to accurately determine distortion without relying on complex mathematical simulations that may fail under varying optical conditions and backgrounds.
2Extent of automation
If mathematic modules simulate physical behavior for calibration, then calibration process is automated, but measurement precision deteriorates due to optical factors not being perfectly simulated
Solution Approach 1:
The patent uses a calibration pattern that replicates known geometric shapes and structures. By capturing images of this pattern and comparing the captured positions against the known ideal positions, the system can precisely measure distortion without needing to simulate complex physical optical behaviors, thus maintaining both automation and precision.
3Adaptability or versatility
If calibration is performed on images with complex backgrounds, then adaptability is improved, but measurement precision deteriorates due to ineffective or mistaken calibration
Solution Approach 1:
The calibration pattern is designed with distinct local features (high-contrast lines, circles, arcs with specific spacing) that create unique visual signatures. These localized features can be reliably detected and identified regardless of the surrounding background, allowing the system to extract calibration data from a localized region of interest while ignoring complex background elements.
Data Source
AI summary
Disclosed are an image calibration method and an image calibration apparatus. The image calibration method is adapted to the image calibration apparatus. The image calibration method includes: step (A): capturing an input image having a calibration pattern, wherein the calibration pattern includes at least one frame and an analysis block, the analysis block is surrounded by the frame, and the analysis block includes a plurality of characteristic patterns separated from each other; step (B): determining whether at least one frame is within the input image; step (C): capturing the analysis block when the at least one frame is within the input image; and step (D): executing one of a displacement calibration, a scaling ratio, a rotation calibration, a keystone calibration or a combination thereof for the input image according to positions of the characteristic patterns within the analysis block to generate an output image.