We propose a nonlinear edge detection technique based on a two-concentric-circular-window operator. We perform a preliminary selection of edge candidates using a standard gradient and use the dual-window operator to reveal edges as zero-crossing points of a simple difference function depending only on the minimum and maximum values in the two windows. Comparisons with other well-established techniques are reported in terms of visual appearance and computational efficiency. They show that detected edges are surely comparable with Canny's and Laplacian of Gaussian algorithms, with a noteworthy reduction in terms of computational load.
|Titolo:||Simple Nonlinear Dual Window Operator for Edge Detection|
|Data di pubblicazione:||2002|
|Digital Object Identifier (DOI):||10.1117/1.1497396|
|Appare nelle tipologie:||1.1 Articolo in rivista|