An edge detector based on gray level difference analysis

This paper proposes an edge detection algorithm based on gray level difference analysis. The processing of the novel edge detector not only is isotropic but also educes 'gray-level ridge' to insure the results to be continuous and simultaneously reduces the detector's sensibility to noise. Optimal non-maximum condensation method is used to effectively guarantee only one response to a single edge. Experimental results prove that the proposed approach works well over most images, and is fast enough for real time applications.