When using shape-based matching, there are many parameters and settings you might want to tweak if you have images where the standard parameters don’t find all matches. Find out how!
In this video, we will have a look at pyramid levels, which are used as a basic functionality of shape-based matching. By adapting the used pyramid levels, you can speed up your application, or find blurred or noisy objects. ‘max_deformation’ enables you to find objects that are slightly deformed. By specifying a minimum score, you can filter out results and speed up the matching.
Using an image with a reduced domain can accelerate your program, or help you eliminate false matches. Lastly, the parameter ‘metric’ can help you find objects when the illumination changes.