Hyperspectral phasor thermography

A method comprising:

• receiving, via at least one two-dimensional (2D) sensor coupled to at least one filter or metasurface, filtered one or more thermal radiance images of a person, wherein the at least one filter or metasurface is configured to filter one or more thermal radiance images captured by the at least one sensor at one or more predefined frequency bands to provide hyperspectral information across an electromagnetic spectrum for each pixel in the captured one or more thermal radiance images;
• generating, via a thermal phasor transformation operation, one or more phasor data at one or more harmonics using the filtered one or more thermal radiance images, wherein each phasor data represents characteristics of thermal radiance at the one or more predefined frequency bands;
• generating, via a phasor modulation operation, a texture modulation map within a phasor data of the one or more phasor data at a pre-defined high-order harmonic, wherein the generated texture modulation map includes texture values represented by the phasor data;
• generating, via a trained AI model or cluster algorithm, a material segmentation map by partitioning phasors within the generated one or more phasor data into one or more clusters, wherein the material segmentation map includes emissivity values of materials represented by the phasors;
• generating, via the trained AI model or a thermal decomposition algorithm, a temperature map having a plurality of temperature values, wherein each temperature value is computed using (i) the emissivity values from the generated material segmentation map and (ii) the texture values from the generated texture modulation map;
• generating a phasor thermographic image by combining at least two of the generated material segmentation map, the generated temperature map, and the generated texture modulation map;
• and
• outputting the generated phasor thermographic image, wherein the output is subsequently employed for health monitoring or medical diagnoses.

A non-transitory computer-readable medium having instructions stored thereon, wherein execution of the instructions by a processor causes the processor to:

• receive, via at least one sensor, filtered one or more thermal radiance images;
• generate, via a thermal phasor transformation operation, one or more phasor data at one or more harmonics using the filtered one or more thermal radiance images, wherein each phasor data represents characteristics of thermal radiance at one or more predefined frequency bands;
• generate, via a phasor modulation operation, a texture modulation map within a phasor data of the one or more phasor data at a pre-defined high-order harmonic, wherein the generated texture modulation map includes texture values represented by the phasor data;
• generate, via a trained AI model or cluster algorithm, a material segmentation map by partitioning phasors within the generated one or more phasor data into one or more clusters, wherein the material segmentation map includes emissivity values of materials represented by the phasors;
• generate, via the trained AI model or a thermal decomposition algorithm, a temperature map having a plurality of temperature values, wherein each temperature value is computed using (i) the emissivity values from the generated material segmentation map and (ii) the texture values from the generated texture modulation map;
• generate a phasor thermographic image by combining at least two of the generated material segmentation map, the generated temperature map, and the generated texture modulation map;
• and
• output the generated phasor thermographic image, wherein the output is subsequently employed for health monitoring or medical diagnoses.