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AssigneePurdue Research Foundation
InventorsZubin Jacob, Fanglin Bao, Xueji Wang
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An image processing system includes a processor configured to receive heat radiation from a scene by a spectropolarimetric imaging system adapted to generate a plurality of spectral frames, generate the plurality of spectral frames associated with the scene, each frame having a plurality of pixels, for each pixel from the generated plurality of spectral frames, extract scene associated spectral information, including pixel-specific temperature representing an object's temperature, and thermal texture factor representing the object's texture, for each of a plurality of materials having a specific emissivity in a library, generate reference spectral information as a function of temperature and thermal texture, match the extracted spectral information for each pixel from the generated plurality of spectral frames to the generated reference spectral information using a statistical method to minimize the associated variation, and extract spectral metadata from the matched reference spectral information for the associated material based on the match.
An image processing system, comprising:
The image processing system of claim 1, wherein the plurality of spectral frames from the spectropolarimetric imaging system are each generated by applying a plurality of associated bandpass filters to the spectropolarimetric imaging system and passing the heat radiation therethrough.
The image processing system of claim 4, wherein the generated reference spectral information from the spectropolarimetric imaging system as a function of temperature and material texture for each material in the library includes a family of spectral curves i) based on a plurality of temperatures and ii) for each temperature of the plurality of temperatures, based on variation of thermal texture factor (X), wherein the thermal texture factor is a variable between 0 and 1.
The image processing system of claim 5, wherein the matching of the extracted spectral information for each pixel from the spectropolarimetric imaging system from the generated plurality of spectral frames to the generated reference spectral information is based on matching Sv to Svm.
The image processing system of claim 6, wherein the statistical method includes sum of least mean squares between the Sv and Svm meeting a predetermined threshold.
The image processing system of claim 9, further comprising:
The image processing system of claim 10, wherein the plurality of linear polarization frames from the spectropolarimetric imaging system includes liner polarization at 0°, 45°, 90°, and −45°, thereby generating I0, I45, I90, and I−45 frames.
The image processing system of claim 11, for each pixel from the generated plurality of polarization frames, further extracting spectral information associated with the scene based on the polarization angles (Svp).
The image processing system of claim 12, wherein the generated reference spectral information from the spectropolarimetric imaging system as a function of temperature and material texture for each material in the library includes a family of spectral curves (Svmp) i) based on a plurality of temperatures, ii) for each temperature of the plurality of temperatures, based on variation of thermal texture factor (X), wherein the thermal texture factor is a variable between 0 and 1, and for each thermal texture factor (X), based on variation of polarization angle including 0°, 45°, 90°, and −45°.
The image processing system of claim 13, wherein the statistical method includes sum of least mean squares between the Svp and Svmp meeting a predetermined threshold.
Dependencies are inferred from the claim text.