Image-Based Effect Pigment Coating Matching With Binary Histograms
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Solution Overview
Problem
Existing methods for matching the color and appearance of coatings containing effect pigments are cumbersome and inefficient, particularly due to spatially nonuniform color variation and the need to account for a vast number of vehicle coatings, leading to high inventory costs and complexity in paint manufacturing.
Innovation Solution
A method involving obtaining pixel-specific color model properties from a coating sample, generating a characterizing histogram, and calculating a cosine similarity value with a candidate coating specimen's histogram to determine matching, using digital image capture and processing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fan decks with vast number of sample coating layers are used to account for all coatings on vehicles, then coating matching accuracy is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent replaces physical fan deck samples with digital image captures of coating specimens. These digital images are processed to extract colorimetric data and create virtual representations that can be stored and compared without physical handling of numerous sample layers.
Solution Approach 2:
The patent substitutes the mechanical fan deck system with a computational image processing system. Instead of physically flipping through sample layers, the system uses digital image analysis, color space transformations, and algorithmic matching to identify the best coating match.
2Measurement precision
If fan decks with vast number of sample coating layers are used to account for all coatings on vehicles, then coating matching accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces physical fan deck samples with digital image captures of coating specimens. These digital images are processed to extract colorimetric data and create virtual representations that can be stored and compared without physical handling of numerous sample layers.
Solution Approach 2:
The patent substitutes the mechanical fan deck system with a computational image processing system. Instead of physically flipping through sample layers, the system uses digital image analysis, color space transformations, and algorithmic matching to identify the best coating match.
3Adaptability or versatility
If 50 to 100 components in mixing machine system are maintained to cover range of global OEM manufacturers' coatings, then adaptability is improved, but device complexity and loss of substance increase
Solution Approach 1:
The patent extracts only the essential colorimetric information from coating specimens and stores it in a database. Instead of maintaining physical inventories of 50-100 components, the system extracts and stores digital color data that can be queried and matched without physical handling of numerous paint components.
Solution Approach 2:
The patent creates digital copies of coating colorimetric properties and stores them in a database. These digital representations allow the system to match and formulate coatings without maintaining physical inventories of numerous paint components and samples.
4Measurement precision
If spectrophotometer or fan deck is used for identifying coating formula, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary actions by capturing digital images of coating specimens and pre-processing them to extract colorimetric data and create standardized representations. This preparation work is done in advance, allowing rapid querying and matching when a repair need arises, eliminating the time-consuming process of physical sample comparison.
Solution Approach 2:
The patent replaces the time-consuming mechanical process of physical sample comparison with automated digital image processing and computational matching algorithms, dramatically reducing the time required to identify the correct coating formula.
Data Source
AI summary
Disclosed here is a method of matching color and appearance of coatings containing at least one effect pigment. The method involves: obtaining, for a coating sample to be matched, sample color image data having pixel-specific color model properties; creating local binary patterns based on the pixel-specific color model properties; generating a binary pattern histogram for the local binary patterns, wherein the binary pattern histogram arranges the local binary patterns into N distinct bins to obtain N bin counts, and wherein the binary pattern histogram represents an appearance feature descriptor of the coating sample to be matched; and utilizing the binary pattern histogram for comparison against a previously generated binary pattern histogram that serves as an appearance feature descriptor of a candidate coating specimen.


