Mathematical Morphology Toolbox

This text describes an internationally developed mathematical morphology toolbox that incorporates implementations of nearly all standard algorithms, such as morphological opening, closing, reconstruction, and similar operations. Mathematical morphology represents a mathematical branch dealing with digital images and shapes, with extensive applications spanning computer vision, medical image processing, robotics, and numerous other fields. Consequently, utilizing this toolbox can significantly aid research and development in these domains. The toolbox typically includes core functions implementing fundamental morphological operations using structuring elements, with algorithms optimized for both binary and grayscale image processing. Furthermore, the toolbox supports functionality extension through custom algorithm development, enabling users to implement specialized morphological operations or combine existing functions for specific requirements. Overall, this mathematical morphology toolbox serves as a robust and practical resource, featuring well-documented functions with parameters for structuring element selection, iteration control, and boundary handling, making it valuable for both academic research and industrial applications.