US 11,922,683 B2
Tyre sidewall imaging method
Syed Wajahat Ali Shah Kazmi, Oxfordshire (GB); Ian Thomas Nabney, Oxfordshire (GB); George Vogiatzis, Oxfordshire (GB); and Alexander Paul Codd, Oxfordshire (GB)
Assigned to WheelRight Limited, Oxfordshire (GB)
Appl. No. 17/299,720
Filed by WheelRight Limited, Oxfordshire (GB)
PCT Filed Jan. 20, 2020, PCT No. PCT/GB2020/050105
§ 371(c)(1), (2) Date Jun. 3, 2021,
PCT Pub. No. WO2020/152440, PCT Pub. Date Jul. 30, 2020.
Claims priority of application No. 1900915 (GB), filed on Jan. 23, 2019.
Prior Publication US 2022/0058417 A1, Feb. 24, 2022
Int. Cl. G06K 9/00 (2022.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2023.01); G06T 3/00 (2006.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 20/62 (2022.01); G06V 30/146 (2022.01); G06V 30/18 (2022.01); G06V 30/10 (2022.01)
CPC G06V 10/82 (2022.01) [G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06T 3/0093 (2013.01); G06V 10/95 (2022.01); G06V 20/63 (2022.01); G06V 30/147 (2022.01); G06V 30/18057 (2022.01); G06V 30/18095 (2022.01); G06V 30/10 (2022.01)] 12 Claims
OG exemplary drawing
 
1. A computer implemented method for generating a region of interest on a digital image of a sidewall of a tyre, the sidewall having one or more embossed and/or engraved markings, the method comprising:
generating a histogram of oriented gradients feature map of the digital image;
inputting the histogram of oriented gradients feature map into a trained neural network, wherein the trained neural network is configured to output a first probability based on the input histogram of oriented gradients feature map that a region of pixels of the digital image contains the embossed and/or engraved markings; and
if the first probability is at or above a first predetermined threshold, accepting the region of pixels as the region of interest.