US 12,322,080 B2
Dual-neighborhood wear angle automatic detection method
Mei Xiao, Shaanxi (CN); Lei Zhang, Shaanxi (CN); Bing Yang, Shaanxi (CN); Kairui Du, Shaanxi (CN); and Ting Xu, Shaanxi (CN)
Assigned to CHANG'AN UNIVERSITY, Shaanxi (CN)
Filed by CHANG'AN UNIVERSITY, Shaanxi (CN)
Filed on Apr. 22, 2022, as Appl. No. 17/727,469.
Application 17/727,469 is a continuation of application No. PCT/CN2021/071221, filed on Jan. 12, 2021.
Claims priority of application No. 202010121606.6 (CN), filed on Feb. 26, 2020.
Prior Publication US 2022/0245789 A1, Aug. 4, 2022
Int. Cl. G06T 7/00 (2017.01)
CPC G06T 7/0004 (2013.01) [G06T 2207/10061 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A dual-neighborhood wear angle automatic detection method for a four-ball friction tester, comprising:
step 1: capturing a wear scar image of a test steel ball by an electron microscope and performing a gray processing on the captured wear scar image of the test steel ball to obtain a grayed wear scar image of the test steel ball;
step 2: choosing a pixel arbitrarily in a defined center area of the grayed wear scar image of the test steel ball obtained in step 1, and constructing a proximal neighborhood above the pixel;
step 3: calculating grayscale differences between the arbitrarily chosen pixel and pixels having first directions on a boundary of the proximal neighborhood;
step 4: calculating deviation degrees of all pixels in the defined central area in the first directions based on the grayscale differences obtained in step 3;
step 5: calculating a similar direction value based on the deviation degrees obtained in step 4;
step 6: constructing a distal neighborhood of the arbitrarily chosen pixel chosen in step 2, and constructing focus pixels having second directions on a boundary of the distal neighborhood based on the similar direction value obtained in step 5;
step 7: calculating grayscale differences between the arbitrarily chosen pixel and the focus pixels constructed in step 6;
step 8: calculating deviation degrees of said all pixels of the defined center area in the second directions based on the grayscale differences obtained in step 7;
step 9: calculating a direction value of a wear angle of the test steel ball based on the deviation degrees obtained in step 8; and
step 10: calculating the wear angle of the test steel ball based on the direction value of the wear angle of the test steel ball obtained in step 9.