Multispectral Illumination Control for Real-Time Contrast Imaging
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Solution Overview
Problem
Conventional imaging systems fail to detect individual spectral components of incident light, leading to inadequate scene-specific or scene-general contrast for distinguishing objects that appear similar in nature.
Innovation Solution
An imaging system adjusts the intensities of each spectral band of illumination based on a classification vector that separates reflectance values between objects, generating an image with optimized contrast by tuning the illumination intensities to enhance the discernibility of different materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional imaging processes integrate over spectral dimensions, then imaging simplicity is maintained, but contrast for distinguishing objects is lost
Solution Approach 1:
The patent segments the integrated spectral information into discrete wavelength components by using multiple illumination sources at different wavelengths. Instead of physically integrating over the spectrum, the system captures separate images at discrete wavelengths and processes them computationally to achieve contrast enhancement while maintaining operational simplicity.
Solution Approach 2:
The patent introduces classification vectors as an intermediary between the raw spectral data and the final image. These vectors serve as mediators that encode spectral signatures of different objects, allowing the system to enhance contrast by projecting pixel intensities onto these vectors without requiring complex spectral integration hardware.
2Measurement precision
If multiple wavelength illumination is used, then spectral discrimination capability is improved, but system complexity increases
Solution Approach 1:
The patent employs tunable LED illumination sources that can dynamically adjust their emission wavelengths and intensities. This dynamic capability allows the system to selectively illuminate at specific wavelengths of interest and adapt the illumination profile based on the classification vectors, achieving spectral discrimination without requiring a fixed complex multi-wavelength system.
Solution Approach 2:
The system changes the parameters of the illumination sources (wavelength and intensity) based on the classification vectors. By adjusting these parameters dynamically, the system can emphasize spectral regions where different objects have distinct reflectance characteristics, achieving high spectral discrimination with a relatively simple illumination system.
3Ease of manufacture
If pixel intensity is determined by physical integration, then imaging process is straightforward, but scene-specific contrast is lost
Solution Approach 1:
The patent performs preliminary action by pre-computing classification vectors from training data that capture the spectral signatures of different objects in the scene. These pre-computed vectors are then used to guide the illumination and image processing, allowing the system to preserve and enhance scene-specific contrast without requiring complex real-time spectral analysis.
Solution Approach 2:
The system uses classification vectors as feedback to adjust the illumination intensities at different wavelengths. By projecting pixel intensities onto these vectors and using the results to guide further illumination adjustments, the system creates a feedback loop that preserves and enhances scene-specific contrast information that would otherwise be lost in conventional integration.
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
The system produces images with significantly enhanced contrast between objects, allowing clear differentiation of anatomical structures or materials that appear similar under conventional illumination, improving surgical and medical imaging accuracy.
Implementation Method 1
one or more LED sources of the plurality of spectral illumination sources may be illuminated with a combination of light from two or more spectral bands
Implementation Method 2
separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object. A set of optimal illumination intensities for one or more spectral illumination sources of the imaging system is determined based on the extracted classification vector. The first and second objects are illuminated with the determined illumination intensities. A high-contrast image of the first and second objects is provided for display, such that the two objects can be readily distinguished in the image. The intensity of pixels in the image is determined by the illumination intensities.