Multispectral Imaging Wavelength Selection Under Environmental Changes
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Solution Overview
Problem
Conventional multispectral imaging methods fail to maintain high wavelength reproducibility due to changes in the surrounding environment, leading to inaccurate wavelength images.
Innovation Solution
An imaging method that selects wavelengths based on the differences or ratios between spectral data features, corrects intensity ratios using correction coefficients, and employs shadowless illumination to suppress environmental changes, ensuring accurate wavelength imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional multispectral imaging methods are used, then imaging can be performed, but wavelength reproducibility deteriorates due to environmental changes
Solution Approach 1:
The patent applies preliminary action by acquiring spectral data of reference subjects before actual imaging, selecting optimal wavelengths based on spectral feature differences, and preparing correction coefficients in advance. This preliminary preparation enables the system to compensate for environmental changes during imaging, thereby maintaining wavelength reproducibility despite environmental variations.
Solution Approach 2:
The patent employs parameter changes by selecting specific wavelengths based on spectral feature differences and ratios, and by applying correction coefficients to adjust intensity ratios. These parameter adjustments compensate for environmental influences, ensuring reliable wavelength reproduction across varying conditions.
2Measurement precision
If multiple wavelengths are selected based on spectral features, then wavelength selection accuracy improves, but processing complexity increases
Solution Approach 1:
The patent uses parameter changes by defining specific selection criteria based on spectral feature differences and ratios. By establishing clear mathematical relationships for wavelength selection and correction coefficient calculation, the patent achieves accurate wavelength selection while maintaining systematic and manageable processing complexity.
Data Source
AI summary
An imaging method of imaging a subject through a multispectral camera including a processor, includes: causing the processor to perform: a data acquisition step of acquiring first spectral data of a first subject, second spectral data of a second subject, and third spectral data of a third subject; a wavelength selection step of selecting a plurality of wavelengths from a wavelength region of the acquired first to third spectral data, the wavelength selection step being for determining, as a computational amount, a difference or a ratio between feature amounts of two pieces of spectral data, from among the first spectral data, the second spectral data, and the third spectral data, and obtaining computational amounts to select the plurality of wavelengths; and an imaging step of imaging a subject including at least one of the first subject, the second subject, or the third subject at the plurality of wavelengths.