Image Reconstruction for Quality Assessment of Edge Detectors

Extraction of the edges is a key step in image processing and there is still a continuing research effort to develop new and effective edge detection algorithms. Despite this fact, there is no single, reliable and efficient metric to evaluate the quality of an edge detector [15]. We introduce an original method for image reconstruction that leads to edge evaluation based on image estimation [11]. A new quantitative metric for assessment of the performance of the edge detector is also presented. The operation of the measure is established on a diverse image database using standard edge detection algorithms and the one based on partial derivatives of Boolean functions [1]. The uses of the measure for an assortment of purposes are demonstrated and these are backed by visual assessment as well as some distance-based error functions applied on synthetic images.