Edge detection using sliding statistical tests

Abstract

The problem discussed is that of detecting edges in one-dimensional image profiles, with particular attention being paid to the case in which there is prior information available regarding the scene. Five sliding statistical tests are presented which often display well-defined turning points in the vicinity of edges, thereby enabling edges to be located. Some of the tests are applicable to the case of detecting edges between objects of different intensity, and others are applicable to the case of textures where there may be no difference in average intensity on each side of the edge.