Researchers are exploring the use of image-processing-based models for evaluating surface roughness in various materials, including titanium-based alloys. The models utilize techniques such as dual tree complex wavelet transform and radial basis function neural networks, as well as machine learning approaches. The applications of these models appear to be diverse, ranging from precision dental prototyping to the optimization of laser cutting and cleaning processes for metals.