Screen Dirt Detection Using Masked Image Segmentation
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Solution Overview
Problem
Current methods for detecting dirt on screens during manufacturing are time-consuming and inefficient, often involving multiple images and being affected by objects outside the screen's field of view.
Innovation Solution
A method and device that acquire a first image of a screen displaying a specific pattern, determine a dirt detection area using a mask image, and segment and process a second image to isolate the dirt detection area, allowing for accurate dirt position detection within the screen's boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are used to determine dirt position, then detection accuracy is improved, but detection time increases and efficiency decreases
Solution Approach 1:
The patent extracts only the necessary detection area from the full image by generating a mask image that isolates the screen display area. This allows dirt detection to be performed on a single image rather than requiring multiple images, thereby reducing detection time while maintaining accuracy by focusing computational resources on the relevant area only.
Solution Approach 2:
The patent performs preliminary actions by generating the mask image in advance and using it to pre-process the first image before dirt detection. This preliminary segmentation creates a focused detection area that eliminates the need for subsequent processing of multiple full images, thus reducing overall detection time while preserving detection accuracy.
2Area of stationary object
If the full field of view is captured, then complete screen coverage is achieved, but objects around the screen interfere with detection
Solution Approach 1:
The patent extracts the screen display area from the full field of view by generating a mask image that contains only the relevant detection area. This extraction process isolates the screen boundaries and excludes surrounding objects that would otherwise interfere with dirt detection, thereby maintaining complete screen coverage while eliminating harmful interference.
Solution Approach 2:
The patent segments the image into distinct regions by creating a mask that separates the screen display area from the surrounding environment. This segmentation is achieved through image processing techniques that identify screen boundaries and generate a binary mask, allowing the detection system to focus exclusively on the screen area and ignore interfering objects outside the screen boundaries.
3Measurement precision
If image processing algorithms are applied, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent applies image processing algorithms as a preliminary action to generate the mask image that defines the detection area. By performing this segmentation upfront, the complex processing is done once rather than repeatedly during dirt detection, thereby improving accuracy through proper area isolation while managing processing complexity through efficient pre-computation.
Data Source
AI summary
A method for detecting dirt on a screen, a device for the same, an electronic device and a computer-readable storage medium are provided. The method includes acquiring a first image of the screen when the screen is displaying a first picture, determining a dirt detection area in the first image with a mask image, and detecting a position of the dirt within the dirt detection area. With the method provided by the embodiments of the disclosure, the positon of dirt on the screen could be detected based on at most two images of the screen. The time for detecting dirt on the screen is greatly shortened, and the efficiency of detection is enhanced.