Now that we know the basics of LBP, we will apply it to a texture recognition example. For this example, 11 trained images and 7 test images that are 50 x 50 in size have been developed into the following classes:
- Trained image
- Pattern image (7)
- Plain image (4)
- Test image
- Pattern image (4)
- Plain image (3)
Steps 1 through 5 from the Generating an LBP pattern section are applied, and then each test image's LBP histogram is compared with all of the trained images to find the best match. Although different histogram comparison methods have been used, for this analysis, the Chi-Square test is going to be used as the principal method for determining the match. The final summary output with correct matches is shown with a green line, whereas incorrect matches will be shown with a red line. The solid line is the first match with a minimum distance...
