Sparkle Color Distribution Matching for Complex Coatings
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Solution Overview
Problem
Existing systems struggle to accurately identify and match complex coating mixtures, particularly those with sparkle effects, due to the difficulty in characterizing unique properties of effect materials like COLORSTREAM pearls and colored aluminums, which are challenging to detect using conventional methods and require time-consuming processes like microscopy.
Innovation Solution
A computer system that analyzes sparkle color distributions in coating images, using statistical methods to compare with a database of reference coatings, enabling quick and accurate identification of special effect pigments and their ratios, without the need for spectrophotometers or microscopes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods (microscopy, human expertise) are used to identify pigments in complex coating mixtures, then detailed analysis can be performed, but the process becomes time-consuming and requires specialized expertise
Solution Approach 1:
The patent replaces manual microscopy and human expert analysis with an automated computer vision system that captures images of the coating and uses image processing algorithms to identify sparkle pigments, their colors, and distributions, thereby eliminating time-consuming manual procedures while maintaining identification accuracy
Solution Approach 2:
The system creates a digital representation (image) of the physical coating sample and analyzes this copy to extract pigment information, allowing rapid reproduction and analysis without repeatedly handling the original sample or requiring expert time for each analysis
2Manufacturing precision
If comprehensive pigment analysis is performed to achieve accurate color matching, then match quality improves, but the complexity of the process increases
Solution Approach 1:
The patent segments the complex coating analysis task into distinct components: capturing images of the coating, processing images to identify sparkle points, determining colors of sparkle points, and comparing distributions. This segmentation simplifies the overall complex process into manageable, automated steps that can be executed systematically
Solution Approach 2:
The system changes the approach from analyzing physical pigment composition directly to analyzing visual parameters (image colors, sparkle point distributions) that correlate with pigment characteristics. This parameter transformation simplifies the analysis by working with measurable optical properties rather than complex chemical composition
3Adaptability or versatility
If manual color matching by skilled matchers is performed, then flexibility in handling offsets is maintained, but productivity decreases
Solution Approach 1:
The system performs self-service by automatically comparing the target coating's sparkle distribution against a database of reference coatings, identifying matches, and providing results without requiring skilled matcher intervention for each comparison, thereby increasing throughput while maintaining adaptability through the database search capability
Data Source
AI summary
A computer system for comparing complex coating mixtures with sparkle color can receive at least one image of a target coating. The computer system calculates a sparkle color distribution of the at least one image of the target coating, wherein the sparkle color distribution represents a relative number of sparkle points of one color compared to a number of sparkle points of one or more other colors in a measured area. Further, the computer system searches a database for a plurality of reference coatings with sparkle color distributions that match the sparkle color distribution of the target coating, wherein each reference coating in the plurality has a different sparkle color distribution. The computer system calculates a degree to which the plurality of reference coatings matches the target coating based on sparkle color distribution. Finally, the computer system identifies a closest matching reference coating from the plurality of reference coatings.


