Color display modes for a thermal imaging system
US-2020029059-A1 · Jan 23, 2020 · US
US10798315B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10798315-B2 |
| Application number | US-201916290347-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 1, 2019 |
| Priority date | Mar 1, 2019 |
| Publication date | Oct 6, 2020 |
| Grant date | Oct 6, 2020 |
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A method for thermal imaging includes extracting pixel intensity data from a plurality of images corresponding to electromagnetic radiation emitted from one or more targets, creating an array for each image pixel in the plurality of images, wherein each pixel array represents a distribution of intensity data from corresponding pixels in each of the images, removing from each pixel array an amount of intensity data such that a remaining amount of intensity data represents an approximate equivalent to a distribution of intensity data uncontaminated by interference; and generating a thermal image representing the one or more targets based on the remaining amount of intensity data in each pixel array.
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The invention claimed is: 1. A method for generating a thermal image of a glass gob, the method comprising: extracting pixel intensity data from a plurality of images corresponding to electromagnetic radiation emitted from one or more glass gobs; generating an array of intensity data for each representative pixel in the plurality of images, wherein each array represents a distribution of intensity data from corresponding pixels in each of the images; filtering the intensity data in each array to exclude an amount of intensity data such that a remaining amount of intensity data represents a distribution of intensity data uncontaminated by interference; and generating a thermal image of a glass gob based on the remaining amount of intensity data in each array. 2. The method set forth in claim 1 , wherein the one or more glass gobs is a plurality of successive glass gobs having substantially the same physical characteristics that remain substantially constant between each glass gob in the plurality of successive glass gobs. 3. The method set forth in claim 1 , wherein filtering the intensity data includes discarding a percentage of the intensity data within each array to exclude intensity data having a low intensity magnitude relative to other intensity magnitudes in the pixel array, wherein the low intensity magnitudes represent interference. 4. The method set forth in claim 1 , wherein filtering the intensity data in each array includes at least one of removing intensity data that is: 1) below a calculated mean of the intensity data; 2) more than 1, 2, or 3σ below the calculated mean, wherein σ is a standard deviation; 3) more than a threshold value below the calculated mean; and 4) below a calculated median of the intensity data. 5. The method set forth in claim 1 , wherein filtering the intensity data in each array includes rounding the intensity data to a set decimal place and using a most common mode as a composite data point for a particular pixel, excluding intensity data that is below the most common mode or intensity data that is more than a threshold value below the most common mode. 6. The method set forth in claim 1 , wherein the intensity data from each image pixel corresponds to a surface temperature for a location on each of the one or more glass gobs. 7. The method set forth in claim 1 , wherein the thermal image represents a temperature profile corresponding to the one or more glass gobs. 8. The method set forth in claim 1 , wherein the remaining amount of intensity data is between 20%-60% of the extracted intensity data. 9. The method set forth in claim 1 , wherein generating the thermal image includes calculating an average for the remaining amount of intensity data in each pixel array. 10. A method for thermal imaging, the method comprising: extracting pixel intensity data from a plurality of images corresponding to electromagnetic radiation emitted from one or more targets; creating an array for each image pixel in the plurality of images, wherein each pixel array represents a distribution of intensity data from corresponding pixels in each of the images; removing from each pixel array an amount of intensity data such that a remaining amount of intensity data represents a distribution of intensity data uncontaminated by interference; and generating a thermal image representing the one or more targets based on the remaining amount of intensity data in each pixel array. 11. The method set forth in claim 10 , wherein removing an amount of intensity data from each pixel array includes discarding a percentage of the intensity data within each array to exclude intensity data having a low intensity magnitude relative to other intensity magnitudes in the pixel array, wherein the low intensity magnitudes represent interference. 12. The method set forth in claim 10 , wherein the one or more targets is a plurality of successive targets having substantially the same physical characteristics that remain substantially constant between each target in the plurality of successive targets. 13. The method set forth in claim 10 , wherein removing an amount of intensity data from each pixel array includes at least one of removing intensity data that is: 1) below a calculated mean of the intensity data; 2) more than 1, 2, or 3σ below the calculated mean, wherein σ is a standard deviation; 3) more than a threshold value below the calculated mean; and 4) below a calculated median of the intensity data. 14. The method set forth in claim 10 , wherein removing an amount of intensity data from each pixel array includes rounding the intensity data to a set decimal place and using a most common mode as a composite data point for a particular pixel, excluding intensity data that is below the most common mode or intensity data that is more than a threshold value below the most common mode. 15. The method set forth in claim 10 , further including sorting the intensity data within each array according to intensity magnitude. 16. The method set forth in claim 10 , wherein the intensity data from each image pixel corresponds to a surface temperature for a location on each of the one or more targets. 17. The method set forth in claim 10 , wherein the thermal image represents a temperature profile corresponding to the one or more targets. 18. The method set forth in claim 10 , wherein the remaining amount of intensity data is between 20%-60% of the extracted intensity data. 19. The method set forth in claim 10 , wherein generating the thermal image includes calculating an average for the remaining amount of intensity data in each pixel array.
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