Applications of Creme algorithm to radiographic knee images

This article presents the result of applying the Cremme filter to the radiographic images of the knee. In addition, texture indices and the invariant moment of each image are calculated, observing that an index n of the analytical form of the filter has an effect on the resulting images. In particular, the contrast and the ISM, as the univariate moment 4 at n =4 presents a minimum. This can improve the diagnosis for the detection of osteoarthritis of the knee, giving an index that can be studied to optimize the application of the filter.