Introduction to the Issue on Filtering and Segmentation With Mathematical Morphology

This issue presents novel contributions and introduces the state-of-art in filtering and segmentation methods using mathematical morphology. Historically, mathematical morphology developed a theoretical framework for non-linear image analysis, which from its inception led to important theoretical and practical results. Due to its algebraic foundation and… (More)