If we couple the local scale and integration scale by a relative integration scale , such that  then for any fixed value of , we obtain a reduced self-similar one-parameter variation, which is frequently used to simplify computational algorithms, for example in corner detection, interest point detection, texture analysis and image matching.
This passage describes how combining local scale and integration scale using a relative integration scale simplifies computational algorithms used in various image processing tasks.