Imaging-Specific Coefficients for Faster Pigment Concentration Analysis
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Solution Overview
Problem
Conventional methods for calculating pigment concentration in image data, such as multivariate analysis and multiple regression analysis, require significant processing time.
Innovation Solution
A coefficient determination device and method that calculates pigment concentration by determining extraction coefficients based on the spectral sensitivity of the imaging apparatus, reducing the need for complex calculations by using a response mode to account for changes in pigment concentrations and shade intensity, allowing for faster and more accurate estimation of pigment concentrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multivariate analysis or multiple regression analysis is performed for each image data to calculate pigment concentration, then measurement precision is improved, but processing time increases significantly
Solution Approach 1:
The patent pre-calculates and stores coefficient data (including regression coefficients and basis spectrum coefficients) for multiple imaging apparatuses before actual pigment concentration measurement. When measuring, the system only needs to retrieve the appropriate pre-stored coefficients and perform simple calculations, avoiding time-consuming multivariate or multiple regression analyses during the measurement process. This preliminary preparation resolves the contradiction by maintaining high measurement precision through stored coefficients while dramatically reducing processing time during actual use.
Solution Approach 2:
The patent segments the complex pigment concentration calculation process into two distinct phases: (1) a pre-processing phase where comprehensive coefficient data is calculated and stored for different imaging apparatuses, and (2) a measurement phase where only simple retrieval and calculation operations are performed. This segmentation allows the system to maintain high measurement precision through thorough pre-analysis while achieving fast processing speeds during actual pigment concentration measurement by avoiding repeated complex calculations.
2Measurement precision
If complex computational processes are used to determine pigment concentration accurately, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent performs complex computational processes in advance to generate and store coefficient data for various imaging apparatuses. The pre-processing stage includes calculating regression coefficients, basis spectra, and other parameters that would otherwise require complex real-time computations. During actual pigment concentration measurement, the system uses these pre-computed coefficients with simple arithmetic operations, thereby maintaining high measurement precision while significantly reducing the computational complexity required during operation.
Solution Approach 2:
The patent creates and stores copies of coefficient data (including apparatus-specific regression coefficients and basis spectrum coefficients) that can be rapidly retrieved and applied to multiple measurements. Instead of performing complex calculations repeatedly, the system uses these pre-computed coefficient copies to quickly determine pigment concentrations while maintaining accuracy. This copying approach reduces device complexity by replacing repeated complex computations with simple data retrieval and application operations.
Data Source
AI summary
Disclosed herein is a technique capable of reducing a time required for a process of calculating a pigment concentration in a specific region of a subject based on image data of the subject. A coefficient determination unit determines, based on the image data, an extraction coefficient vector x which is associated with a predetermined imaging device and which is used to calculate a configuration of a desired one pigment in the specific range of the subject. The coefficient determination unit includes a response calculation unit and a coefficient calculation unit. The response calculation unit calculates at least one of an absorption coefficient vector a and a shade vector e. The coefficient calculation unit calculates the extraction coefficient vector x using at least one of the absorption coefficient vector a and the shade vector e.


