High-accuracy edge detection with Blurred Edge Model
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摘要
A high-accuracy edge detection algorithm at sub-pixel level is proposed in this work. A blurred edge model is adopted here, and a least-squared-error based solution is derived. Its applications to both synthetic and real images are presented for evaluation. It is compared with two other sub-pixel edge detectors. One uses a moment-based approach, and the other an interpolation-based approach. The comparison shows higher accuracy of the proposed algorithm, even for image data with significant noise. An application of the proposed algorithm in engineering is also introduced herein.
论文关键词:Edge detection,Sub-pixel accuracy,Least-squared-error solution,Blurred edge model
论文评审过程:Received 30 January 2004, Accepted 21 July 2004, Available online 3 March 2005.
论文官网地址:https://doi.org/10.1016/j.imavis.2004.07.007