2.0 Overview of Morphological Image Processing Morphological image processing decomposes complex image shapes into different parts. Before describing the noise floor spectrum estimator, the morphological processing operators are reviewed. Morphological image processing is based primarily on set theory.
Erosion is the intersection of sets and dilation is the union of sets.
Figure 3 illustrates how these two operators work. The kernel K can consist of any binary shape. Example of morphological binary image processing. A much like a 2-D convolution. The images at the upper right shows the result of eroding A by K .