Neighborhood Operations

Abstract

An analysis of the spatial relations of the gray values in a small neighborhood provides the first clue for the recognition of objects in images. Let us take a scene containing objects with uniform radiance as a simple example. If the gray value does not change in a small neighborhood, the neighborhood lies within an object. If, however, the gray value changes significantly, an edge of an object crosses the neighborhood. In this way, we recognize areas of constant gray values and edges.