Glitter Paint Chromaticity Segmentation for Color Measurement
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Solution Overview
Problem
Existing methods for evaluating the glittering effect in paints containing glittering materials, such as aluminum flakes, struggle to accurately separate and measure the base color and particle color, leading to inaccurate composition information due to the combined measurement of base surface color and glittering effects.
Innovation Solution
A method involving a measurement system that uses an imaging device to capture a two-dimensional reflected light distribution, classifies the surface into base and particle areas based on chromaticity information, and evaluates appearance characteristics separately for each area, allowing for precise measurement of color characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If color measurement information is measured from the entire paint-coated surface, then the measurement process is simple, but the measurement precision is poor because base color and particle color cannot be separated
Solution Approach 1:
The patent divides the paint-coated surface into multiple regions based on chromaticity information. The imaging device captures the entire surface, then the processor segments it into base color regions and particle color regions, allowing separate evaluation of each component while maintaining measurement efficiency.
Solution Approach 2:
The patent applies different evaluation criteria to different regions of the surface. Base color regions are evaluated using one set of chromaticity parameters, while particle color regions are evaluated using another set, enabling precise local measurement without compromising overall process simplicity.
2Measurement precision
If the surface is classified into multiple areas based on chromaticity information, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The imaging device serves multiple functions: it captures the entire paint-coated surface, extracts chromaticity information, and provides the basis for region classification. This multi-functionality reduces the need for additional specialized equipment, maintaining relative system simplicity while achieving high measurement precision.
Solution Approach 2:
Chromaticity information acts as an intermediary that bridges the imaging device and the classification process. The imaging device captures raw data, chromaticity extraction processes this data to identify different regions, and the classified regions are then evaluated separately, simplifying the overall system architecture while improving measurement accuracy.
3Ease of manufacture
If base color and particle color are measured together, then the measurement process is simple, but the reliability of composition information is poor
Solution Approach 1:
The patent segments the paint-coated surface into base color regions and particle color regions based on chromaticity information. This segmentation allows separate measurement and evaluation of each component, providing reliable composition information while maintaining a relatively simple overall measurement process.
Solution Approach 2:
The patent uses chromaticity parameters to distinguish between base color and particle color regions. By changing the measurement parameter from simple reflectance to chromaticity information, the system can reliably differentiate and evaluate different components of the paint coating.
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
This approach enables accurate measurement of color characteristics by distinguishing between base and particle colors, improving search accuracy and providing more reliable evaluation values for glittering-material-containing coating films.
Implementation Method 1
obtaining, by an imaging device, a two-dimensional reflected light amount distribution of a surface of a target
Data Source
AI summary
An evaluating method includes obtaining, by an imaging device, a two-dimensional reflected light amount distribution of a surface of a target; classifying, by one or more processors, the surface into a plurality of areas on the basis of chromaticity information of the two-dimensional reflected light amount distribution; and evaluating, by one or more processors, appearance characteristics of the target on the basis of respective sets of chromaticity information of the areas.