Performance Evaluation of Edge Detectors Using Image Reconstruction

An objective method for performance evaluation of edge detectors was proposed based on image reconstruction. Firstly, binary edge maps were extracted by testing edge detectors. Then, combining the location information and brightness information in edge support region, image was reconstructed using enhance inverse of the distance for the weighted average of image pixel values in divisional regions. Finally, performance of edge detectors was evaluated using integrated index which represents feature similarity between reconstructed image and original image. The experimental results show that the proposed method is consonant with subjective judgment and has practical implementation.