Display Screen Detection for Quantified Color Breakup and Hue
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Solution Overview
Problem
Existing display technologies, particularly those using COE technology, suffer from significant color breakup and hue issues in reflected light, lacking quantitative evaluation methods, leading to poor user experience.
Innovation Solution
A method and device for detecting display screens that quantify color breakup and hue by measuring and calculating color breakup and hue quantization values using a light source and detector, determining if the values fall within predetermined ranges to assess screen quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a light source emits light onto the display screen surface to form diffuse reflection, then the color breakup and hue of reflected light can be measured, but no quantitative evaluation method exists leading to only rough determination by inspector vision
Solution Approach 1:
The patent replaces the mechanical/visual inspection method with an optical measurement system. A light source emits light onto the display screen, and a colorimeter detects the reflected light's color values (L*, a*, b*). The system calculates color breakup quantization values through coordinate transformations (Lab to Luv to L'uv) and compares them against threshold values, providing quantitative evaluation instead of rough visual determination.
2Manufacturing precision
If the detector measures color channel values at multiple measurement positions by rotating around the test point, then comprehensive color breakup evaluation is achieved, but the detection time and operational complexity increase
Solution Approach 1:
The patent divides the detection process into discrete measurement positions (e.g., 0°, 45°, 90°, 135° around the test point). The detector rotates to each position sequentially, measuring color channel values independently. This segmentation allows comprehensive evaluation of color breakup from different angles while enabling systematic data collection and processing.
Solution Approach 2:
The detector performs periodic rotation to predetermined measurement positions around the test point. At each position, the detector measures color values, then rotates to the next position. This periodic action ensures complete coverage of the reflection pattern while maintaining a structured, repeatable detection sequence that can be automated.
3Measurement precision
If the color breakup and hue quantization value is calculated using the formula φ=lab×ε=|a+b|√{((a−a1)2+(b−b1)2)}/(a+b), then quantitative evaluation is provided, but calculation complexity increases
Solution Approach 1:
The patent replaces complex manual calculation with automated computational processing. The system obtains color channel values (a, b) from the colorimeter, retrieves initial values (a1, b1) from stored reference data, and automatically computes the color breakup quantization value φ using the formula φ=lab×ε where lab=√{((a−a1)2+(b−b1)2)} and ε=|a+b|/(a+b). The processor compares the calculated φ against threshold values to determine pass/fail status.
Solution Approach 2:
The patent introduces intermediate color space transformations as mediators in the calculation process. The system transforms measured RGB or XYZ color values into Lab color space, then to Luv and finally to L'uv space. These intermediate transformations facilitate the calculation of color breakup quantization values by providing suitable coordinate systems for measuring color differences and hue angles.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a standardized, quantitative evaluation of color breakup and hue, enabling effective control and improvement of user experience by ensuring the display screen meets predefined quality standards.
Implementation Method 1
emitting, by a light source, light onto a surface of a display screen to form a diffuse reflection
Data Source
AI summary
A detection method for a display screen is provided, including: emitting, by a light source, light onto a surface of a display screen to form a diffuse reflection, where the light source includes an initial first color channel value a1 and an initial second color channel value b1; measuring, by a detector, a first color channel value a and a second color channel value b of the reflected light; calculating a color breakup value lab of the reflected light by: lab=√{square root over ((a−a1)2+(b−b1)2)}; calculating, in response to (a+b) being not equal to 0, a hue value ε by: ε=|a+b|/(a+b); calculating a color breakup and hue quantization value φ of the reflected light by: φ=lab×ε=|a+b|√{square root over ((a−a1)2+(b−b1)2)}/(a+b); and determining whether the display screen is qualified based on determining whether the color breakup and hue quantization value φ is within a predetermined quantization value range.