Display Screen Area Identification Using Captured Image Brightness
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Solution Overview
Problem
The installation of large display devices with high resolution and multiple display modules is challenging due to difficulties in manually inputting location, layout, and connection relationships, leading to potential installation errors.
Innovation Solution
An electronic device uses image processing to automatically identify the screen area of a display device by capturing images with and without screen output, extracting value components, and performing operations to distinguish between screen and peripheral light, thereby accurately determining the screen area without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input method is used for display module location and layout, then installer can control the setup process, but installation time increases and error probability rises
Solution Approach 1:
The display device automatically identifies its own screen area and layout by capturing images and processing them to extract value components, eliminating the need for manual installer input. The device performs self-configuration by comparing captured images with reference images to determine display module arrangements autonomously.
2Measurement precision
If display device resolution and size are increased, then display quality improves, but difficulty of automatic identification increases due to more display modules
Solution Approach 1:
The patent extracts the value component from captured images to isolate and identify the screen area. By converting images to HSV color space and extracting only the value (brightness) component, the system filters out color variations and focuses on luminance differences, making it easier to distinguish the screen area from the background regardless of display resolution or module count.
3Ease of operation
If automatic identification method is implemented, then setup time reduces and user convenience improves, but system complexity increases due to image processing requirements
Solution Approach 1:
The patent transforms the image data by changing from RGB color space to HSV color space and then extracting only the value component. This parameter transformation simplifies the identification process by reducing the dimensionality of the data and focusing on the most relevant characteristic (brightness) for distinguishing the screen area, thereby managing complexity while maintaining automation.
Data Source
AI summary
Provided are an electronic device and method of operating same. The electronic device includes: at least one memory storing one or more instructions; and one or more processors configured to execute the one or more instructions and cause the electronic device to: obtain a first captured image of a display device in a state of outputting a first image to a screen area, obtain a second captured image of the display device in a state in which the screen area is turned off, obtain a second operation image in which a value component has been extracted from the first captured image, obtain a third operation image in which a value component has been extracted from the second captured image, and identify the screen area based on a result image obtained by performing a second operation on the second operation image and the third operation image.