Display Panel Defect Area Measurement Using Image Segmentation
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Solution Overview
Problem
Display panel defects are manually measured with low precision, leading to significant errors due to worker variability and visual fatigue, affecting image display quality.
Innovation Solution
A method and device for measuring the actual area of defects in display panels using image semantic segmentation and gray value transformation to determine defect pixel area and reference object pixel size, enabling precise calculation of the defect's actual area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual measurement by workers is used, then operation simplicity is maintained, but measurement precision deteriorates due to worker variability and visual fatigue
Solution Approach 1:
The patent replaces the manual mechanical measurement system with an automated image processing system. The inspection apparatus captures images of defects and uses computer algorithms to automatically calculate defect areas, eliminating human involvement in the measurement process. This substitution resolves the contradiction by maintaining operational simplicity through automation while dramatically improving measurement precision through consistent, fatigue-free digital processing.
Solution Approach 2:
The patent introduces an image processing algorithm as an intermediary between the defect and the measurement result. Instead of direct human observation, the system uses captured images as intermediaries that are processed through standardized calculation methods. This intermediary layer ensures consistent, objective measurements while keeping the overall process simple and automated.
2Measurement precision
If automated image processing is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex manual measurement procedures with a streamlined automated image processing system. By capturing images and using computer algorithms to calculate defect areas based on pixel counting and reference object comparison, the system achieves high precision without requiring complex physical measurement devices. The complexity is shifted from mechanical operations to software processing, which is more controllable and repeatable.
Solution Approach 2:
The patent uses image copies of the actual defects as the basis for measurement. Instead of directly measuring the physical defect, the system creates a digital copy through image capture and processes this copy to determine defect area. This copying approach simplifies the measurement device while maintaining high precision, as the digital copy can be analyzed using straightforward pixel-based calculations.
3Device complexity
If manual measurement is used, then device complexity is minimized, but reliability deteriorates due to inconsistent results from different workers
Solution Approach 1:
The patent replaces the human operator with an automated image processing system to eliminate variability between different workers. The system uses consistent algorithms to process all defect images, ensuring that measurements are not influenced by individual worker experience, attention levels, or interpretation differences. This substitution maintains simple device architecture while dramatically improving measurement reliability through standardized automated processing.
Solution Approach 2:
The patent changes the measurement parameter from subjective human judgment to objective pixel counting. By converting defect area measurement into a count of pixels within defined boundaries and comparing against reference objects, the system establishes a consistent, repeatable measurement parameter that eliminates human variability. This parameter change ensures reliable results across different inspections and operators.
Data Source
AI summary
A method and apparatus for measuring the actual area of a defect, and a method and apparatus for testing a display panel. The method for measuring the actual area of a defect includes: acquiring a measurement image of a display panel, wherein the measurement image has a defect region; according to the measurement image, determining the area of defect pixels of the defect in the measurement image and determining the size of reference object pixels of a reference object in the measurement image; and according to the area of the defect pixels, the size of the reference object pixels and the actual size of the reference object, determining the actual area of the defect in the display panel.


