Display Panel Luminance Inspection with Region-Specific Kernel Sizing
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Solution Overview
Problem
Existing luminance inspection systems struggle to accurately measure and compensate for luminance deviations in display panels due to differences in pixel characteristics, particularly between normal and optical areas, leading to errors in luminance data and reduced detection capability.
Innovation Solution
A luminance inspection system that uses a camera to capture images of display panels, an image processor to classify pixels into different regions based on characteristics, and applies varying kernel sizes to calculate luminance data, generating a cropped image that matches the actual pixel count, thereby improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a uniform kernel size is used for all pixel regions in the display panel, then the processing is simple and fast, but the luminance measurement accuracy deteriorates due to different pixel characteristics in normal and optical areas
Solution Approach 1:
The patent applies different kernel sizes to different pixel regions based on their characteristics. Specifically, a first kernel size is used for pixels in the normal area while a second kernel size is used for pixels in the optical area. This local differentiation allows the system to account for varying pixel characteristics (such as different luminance properties in normal vs. optical areas) and thereby improves luminance measurement accuracy without requiring a completely complex system overhaul.
2Measurement precision
If the captured image is processed without considering pixel region characteristics, then the processing is fast and simple, but the luminance data accuracy deteriorates
Solution Approach 1:
The patent segments the display panel into different pixel regions based on pixel characteristics. The image processor divides the captured image into a first pixel region (normal area) and a second pixel region (optical area), then applies different processing parameters (kernel sizes) to each region. This segmentation approach enables accurate luminance measurement by treating different areas appropriately, while maintaining reasonable processing efficiency through systematic region-based handling rather than pixel-by-pixel analysis.
3Measurement precision
If different kernel sizes are applied to different pixel regions, then the luminance measurement accuracy improves, but the device complexity and processing complexity increase
Solution Approach 1:
The patent implements local quality by configuring different kernel sizes for different pixel regions. The image processor is configured to use a first kernel size for pixels in the normal area and a second kernel size for pixels in the optical area. This approach improves luminance measurement accuracy by adapting to local pixel characteristics while keeping the overall system architecture relatively simple through configuration-based differentiation rather than complex dynamic processing.
Data Source
AI summary
A luminance inspection system includes a camera configured to capture an image displayed on a display panel having a plurality of pixels to generate a captured image, and an image processor configured to obtain location information of pixels in the captured image. The image processor can divide the captured image into a plurality of pixel regions according to a preset pixel map, and calculate luminance data according to a kernel size set for each pixel region to generate a luminance image of the display panel.