Prediction method for durability of tire
US-2024393213-A1 · Nov 28, 2024 · US
US2025191162A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025191162-A1 |
| Application number | US-202519056259-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 18, 2025 |
| Priority date | Apr 26, 2022 |
| Publication date | Jun 12, 2025 |
| Grant date | — |
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A method of detecting a blemish in a digital camera includes capturing a digital image of a white area by the digital camera; reducing resolution of the digital image by grouping pixels of the digital data into a matrix of a plurality of data blocks; and comparing a luminance value of each of the plurality of data blocks to an average luminance value of other data blocks of the plurality of data blocks within a predetermined region to determine if each of the plurality of data blocks is a potentially bad data block.
Opening claim text (preview).
1 ) A method of detecting a blemish in a digital camera, the method comprising: capturing a digital image of a white area by the digital camera; reducing resolution of the digital image by grouping pixels of the digital data into a matrix of a plurality of data block; and comparing a luminance value of each of the plurality of data blocks to an average luminance value of other data blocks of the plurality of data blocks within a predetermined region to determine if each of the plurality of data blocks is a potentially bad data block; wherein the luminance value of each of the plurality of data blocks equals includes an average red, green, and blue color value for digital image pixels within the data block. 2 ) The method of claim 1 , further comprising: determining a total number of potentially bad data blocks within a predetermined region centered around each of the potentially bad data blocks; identifying the potentially bad data block as a blemish if the total number of potentially bad data blocks around the potentially bad data block exceeds a threshold; and identifying the potentially bad data block as not a blemish if the total number of potentially bad data blocks around the potentially bad data block does not exceed the threshold. 3 ) The method of claim 1 , wherein the pixels of the digital data are grouped into a matrix of data blocks. 4 ) The method of claim 1 , wherein the luminance value of each of the data blocks is calculated by averaging respective color values for red, green, and blue of all of the pixels within each data block and then using the resulting average red, average green, and average blue color values in a luminance conversion formula. 5 ) The method of claim 1 , wherein a difference between the luminance value of each of the plurality of data blocks to the average luminance value of other data blocks of the plurality of data blocks must exceed a predetermined value to determine if each of the plurality of data blocks is a potentially bad data block. 6 ) The method of detecting a blemish in a digital camera, the method comprising: capturing a digital image of a white area by the digital camera; comparing each of a plurality of data blocks that collectively include all of the digital data of the digital image to determine if a difference in luminance values of other of the plurality of data blocks exceeds a predetermined threshold, the threshold indicating a possible blemish. 7 ) The method of claim 6 , further comprising reducing the resolution of the digital image prior to the step of comparing. 8 ) The method of claim 7 , wherein the pixels of the digital data are grouped into a matrix of data blocks. 9 ) The method of claim 6 , further comprising: identifying each of the plurality of data blocks with a luminance value that exceeds the threshold as a potentially bad data block; and totaling the number of potentially bad data blocks within a predetermined region of each potentially bad data block.
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