The study explores the growing role of multifunctional surfaces in mechanical engineering, focusing on products with complex coatings and composite materials.
It introduces an innovative asymmetric morphological filter that enhances texture analysis by adjusting nesting indices for morphological operations, improving computational efficiency.
The research provides an algorithm for selecting filter types and parameters, achieving less than 3% relative error in surface analysis, beneficial for evaluating tribological properties of advanced materials.