High-accuracy edge detection with Blurred Edge Model

Authors:
Jian Ye;Gongkang Fu;Upendra P. Poudel
Affiliations:
Center for Advanced Bridge Engineering, Department of Civil and Environmental Engineering, Wayne State University, Detroit, MI 48202, USA;Center for Advanced Bridge Engineering, Department of Civil and Environmental Engineering, Wayne State University, Detroit, MI 48202, USA;Center for Advanced Bridge Engineering, Department of Civil and Environmental Engineering, Wayne State University, Detroit, MI 48202, USA
Venue:
Image and Vision Computing
Year:
2005

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Abstract

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.