Grade-spatial procedure in grade decomposition of medical images

The paper describes decomposition of gray medical images. Pixels of the image are assigned with the variable values derived from a neighbourhood of the pixel. Then Grade Correspondence Cluster Analysis is used to order set of pixels according to their grade differentiation and to divide pixels into subsets. Subsets are visualized in separate subimages and regions are extracted on principle of spatial neighbourhood in subimage. Influence of a number of subimages is discussed. Then a new grade-spatial procedure is proposed which combines features of grade similarity and spatial neighbourhoods.