Diagnostic Color Space for Surface Condition Analysis
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Solution Overview
Problem
Existing color detection and measurement systems, such as RGB and HSV, fail to accurately convey the meaning of color in various fields due to their subjective nature and inability to intuitively represent surface conditions, making it difficult for professionals to interpret color data from digital imaging devices.
Innovation Solution
The method involves converting raw color data into a more meaningful format using additional color code systems like HSV, and creating Cartesian or radial coordinate systems to display color spaces, allowing operators to determine surface conditions by plotting and comparing data points, thereby linking color numbers to actual surface meanings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional color code systems (RGB, HSV) are used to represent color data, then the data can be digitally processed and stored, but the data fails to intuitively convey surface condition meaning to operators
Solution Approach 1:
The patent introduces an intermediary coordinate transformation system that converts raw color data into a diagnostic color space. This intermediary representation bridges the gap between numerical color values and human-interpretable surface conditions, allowing operators to visually assess conditions like inflammation or corrosion without needing to interpret raw RGB or HSV values.
Solution Approach 2:
The patent transforms the parameter representation by changing the coordinate system from traditional RGB or HSV to a diagnostic color space with axes specifically designed to highlight surface condition variations. This parameter transformation reweights and reorganizes color information to emphasize diagnostically relevant features while suppressing irrelevant variations.
2Measurement precision
If detailed color measurement systems are implemented to capture precise color data, then measurement precision improves, but the complexity of interpreting the data increases
Solution Approach 1:
The patent extracts and isolates the diagnostically relevant information from complex color measurements by projecting the high-dimensional color data onto a simplified diagnostic color space. This extraction process separates surface condition information from other color variations, maintaining measurement precision while reducing interpretation complexity.
Solution Approach 2:
The patent adds a diagnostic dimension to color representation by creating a new coordinate system where one axis specifically represents surface condition severity. This dimensional transformation allows precise color measurements to be visualized and interpreted in terms of diagnostic significance rather than just numerical values.
3Loss of information
If multiple color code systems are used to represent the same color data, then more comprehensive color information is available, but the system complexity increases
Solution Approach 1:
The patent merges multiple color code systems (RGB, HSV, and other color spaces) into a unified diagnostic color space. By transforming all input color data into a common diagnostic framework, the system preserves comprehensive color information while eliminating the complexity of managing multiple separate color representations.
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 definitive or probabilistic determinations of surface conditions, providing a more intuitive understanding of color data, improving accuracy in fields like medicine, metal inspection, and artwork assessment by visualizing color variations and differences.
Implementation Method 1
scanning the surface of an object and detecting and measuring the electromagnetic spectrum being directed from the surface
Data Source
AI summary
A system and method of determining the condition of a surface by scanning the surface of an object and detecting and measuring the electromagnetic spectrum being directed from the surface to obtain raw data from a plurality of points along the surface and assigning values for each particular data type of raw data and creating a color space for viewing by an operator to determine the condition of the surface.