Edges

There has been an abundance of work on different approaches to the detection of one dimensional features in images. The wide interest is due to the large number of vision applications which use edges and lines as primitives, to achieve higher level goals. This section describes some of the approaches taken in the past. For other reviews of edge finding, see [3], [20], [78] and [48]. An attempt has been made to group the edge detectors into several different types.

• Early Uses of the First Image Brightness Derivative
• Zero Crossings of the Laplacian of a Gaussian of the Image Brightness Function
• More Advanced Uses of the First Image Brightness Derivative
• The Second Directional Derivative of Image Brightness
• Fitting Functions to the Image Brightness Surface
• Using Mathematical Morphology
• Energy-Based Methods
• Using Regularization to Find Edges
• Local Edge Context
• Other Methods