Spot Detection Device Using Multi-Grayscale Imaging
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Solution Overview
Problem
Existing spot detection methods for display panels face challenges in reliability, particularly in distinguishing between actual spots and noise or scratches that may appear at specific grayscales, leading to potential misidentification and incorrect correction.
Innovation Solution
A spot detection device and method that utilize multiple cameras capturing images at different grayscales and angles to generate and process image data, employing filters and morphological operations to remove noise and select spot candidates, thereby improving detection accuracy by comparing data from various viewpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras capturing images at different grayscales and angles are used, then spot detection reliability is improved, but device complexity increases
Solution Approach 1:
The inspection system is segmented into multiple cameras (first camera for first grayscale, second camera for second grayscale, third camera for portion capture) that operate independently to capture different aspects of the display panel. Each camera focuses on specific detection tasks, and their results are integrated by the processor to achieve comprehensive spot detection with high reliability while maintaining manageable system complexity through functional division.
2Measurement precision
If multiple image data from different grayscales and positions are processed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The processor performs preliminary filtering operations (noise filtering, morphological operations) on the multiple image data sets before final spot detection and comparison. By pre-processing the data from different cameras and grayscales to remove obvious noise and standardize formats, the system reduces the computational burden of subsequent analysis, thereby improving measurement precision without excessive time loss.
3Measurement precision
If noise filtering and morphological operations are applied, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system replaces complex hardware-based noise filtering mechanisms with software-based digital signal processing techniques. The processor applies morphological operations (opening, closing, erosion, dilation) and noise filtering algorithms to the captured images, achieving effective noise removal and spot detection accuracy enhancement through computational methods rather than additional physical filtering components, thus improving detection accuracy while controlling processing complexity.
Data Source
AI summary
Provided is a spot detection device including an imager configured to capture a display panel displaying a first image of a first grayscale and a second image of a second grayscale different from the first grayscale and generate image data, and a spot detector configured to receive the image data from the imager in order to detect a spot. The image data includes first image data obtained by capturing the first image, second image data obtained by capturing the second image, and a plurality of third image data obtained by capturing portions of the first image.