Spectral Image Evaluation Device for Rapid Imaging Condition Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing imaging condition evaluation methods require extensive time to determine optimal imaging conditions due to the need for repeated multivariate analysis under varying conditions, which is inefficient for achieving good analysis accuracy.
Innovation Solution
An imaging condition evaluation device and method that uses a spectrometer to capture spectral images and calculates an evaluation value based on the optical spectra of distinct regions within the images, specifically utilizing a spectrum separation degree to assess and adjust imaging conditions, including varying illumination and imaging postures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multivariate analysis is performed repeatedly under various imaging conditions to find optimal conditions, then analysis accuracy is improved, but evaluation time increases significantly
Solution Approach 1:
The patent extracts the essential evaluation metric (spectrum separation degree) from the complex multivariate analysis process. Instead of performing full multivariate analysis for each imaging condition evaluation, the system calculates only the spectrum separation degree between target and background regions, which is the critical factor for analysis accuracy. This extraction principle reduces computational complexity while maintaining evaluation effectiveness.
Solution Approach 2:
The patent applies partial action by performing only the necessary calculation (spectrum separation degree) rather than complete multivariate analysis for each condition evaluation. The system calculates spectrum separation degree for multiple imaging conditions and selects the optimal one, performing sufficient but not excessive analysis to achieve the goal of finding optimal imaging conditions efficiently.
2Productivity
If spectrum separation degree calculation is used to evaluate imaging conditions, then evaluation speed is improved, but evaluation comprehensiveness may be reduced
Solution Approach 1:
The patent implements feedback by using the calculated spectrum separation degree to determine whether the current imaging condition is optimal. The system calculates the spectrum separation degree for each imaging condition, compares the results, and provides feedback to select the condition with the maximum separation degree. This feedback mechanism ensures that the simplified evaluation method still achieves reliable and comprehensive assessment of imaging conditions.
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 allows for rapid evaluation of imaging conditions, improving analysis accuracy by identifying optimal conditions that minimize the influence of external light components, thereby reducing the time needed to find suitable imaging settings.
Implementation Method 1
a spectrometer 10 configured to capture a spectral image
Implementation Method 2
capture a spectral image under an arbitrarily set imaging condition
Data Source
AI summary
An imaging condition evaluation device according to the present disclosure includes: a spectrometer configured to capture a spectral image under an arbitrarily set imaging condition; and an evaluation unit configured to set a first region and a second region different from each other in the spectral image, and calculate an evaluation value of the imaging condition based on an optical spectrum of the first region and an optical spectrum of the second region.