Image Processing Apparatus for Color Misalignment Detection
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Solution Overview
Problem
Existing methods for detecting color misalignment in printed images require high processing loads and significant time, making them inefficient for real-time inspection.
Innovation Solution
An image processing apparatus that generates judgment image data at a lower resolution than the nozzle resolution, allowing for high-speed inspection by comparing read data with judgment data, reducing processing load and increasing speed without compromising accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution processing is used for color misalignment detection, then detection accuracy is improved, but processing time increases and productivity decreases
Solution Approach 1:
The patent segments the image processing into two distinct stages: a first processing stage that operates at full resolution to ensure accurate color misalignment detection, and a second processing stage that operates at reduced resolution for rapid inspection of large areas. This segmentation allows the system to maintain high detection accuracy where needed while achieving high productivity through efficient low-resolution screening.
Solution Approach 2:
The patent dynamically adjusts the processing resolution based on the inspection requirements. The system switches between high-resolution processing for detailed analysis and low-resolution processing for rapid scanning, optimizing the balance between detection accuracy and inspection speed according to the specific needs of different inspection scenarios.
2Measurement precision
If high resolution processing is used for color misalignment detection, then detection accuracy is improved, but processing load increases
Solution Approach 1:
The patent divides the processing workload into two segments: high-resolution processing for critical color misalignment detection tasks, and low-resolution processing for general inspection. This segmentation reduces the overall processing load by limiting high-resolution operations to only where they are truly necessary, while using efficient low-resolution processing for the majority of inspection scenarios.
Solution Approach 2:
The patent changes the resolution parameter dynamically based on processing needs. By adjusting the resolution from high to low depending on the inspection stage and requirements, the system optimizes processing load while maintaining sufficient detection accuracy. This parameter adjustment allows the system to handle large volumes of inspection data efficiently without being overwhelmed by constant high-resolution processing.
Data Source
AI summary
A judgment reference data having a resolution lower than a nozzle resolution in a nozzle arranging direction is generated based on input image data. The judgment reference data and read data acquired by reading a printed image are compared to judge whether the printed image has color unevenness or not.