A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison of edge detectors: a methodology and initial study
Computer Vision and Image Understanding
A qualitative profile-based approach to edge detection
A qualitative profile-based approach to edge detection
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Edge is one of the most fundamental features. Edge detection is an important method to extract the image's characteristics. Firstly gradient adjusted predictor was used to predict the image, and then aimed at the gained error image, a new adapted approach to selected threshold based on gradient mean-value histogram was proposed, and classified edge and non-edge by the gained threshold; to obtain single pixel edges, the gained edge image was far thinned by the thinning algorithm, and the last edge image was achieved. Simulation results show that have fine and continued edge characteristic, higher precision of localization by using the proposed method compared with other methods. The experimental results are more satisfactory.