2009Unpublished venueRequires access

A Method Based on Discrete Tangent for Curvature Estimation of Digital Curve

Qian Cui, Lin Wang

Open publisher page 2 citations

Abstract

Many applications of geometry processing and computer vision rely on geometric properties of curves, particularly on their curvature. So the estimation of digital curvepsilas curvature is important. An algorithm of curvature estimation is proposed in this paper, which is based on the recognition of discrete straight segments. For each point of a digital curve, its curvature is estimated by searching the discrete tangents of this point and of its neighboring points. To test the effectiveness and the precision of this algorithm, itpsilas compared with Hermann algorithm by a lot of experiments conducted on the digital circles in a wide range of resolution. For each curve, the maximum and the mean of errors are recorded. Experimental results show that the new method has an overall good performance.

About this research paper

What this paper is about

Many applications of geometry processing and computer vision rely on geometric properties of curves, particularly on their curvature. So the estimation of digital curvepsilas curvature is important. An algorithm of curvature estimation is proposed in this paper, which is based on the recognition of discrete straight segments. For each point of a digital curve, its curvature is estimated by searching the discrete tangents of this point and of its neighboring points. To test the effectiveness and the precision of this algorithm, itpsilas compared with Hermann algorithm by a lot of experiments conducted on the digital circles in a wide range of resolution. For each curve, the maximum and the mean of errors are recorded. Experimental results show that the new method has an overall good performance.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Many applications of geometry processing and computer vision rely on geometric properties of curves, particularly on their curvature. So the estimation of digital curvepsilas curvature is important. An algorithm of curvature estimation is proposed in this paper, which is based on the recognition of discrete straight segments. For each point of a digital curve, its curvature is estimated by searching the discrete tangents of this point and of its neighboring points. To test the effectiveness and the precision of this algorithm, itpsilas compared with Hermann algorithm by a lot of experiments conducted on the digital circles in a wide range of resolution. For each curve, the maximum and the mean of errors are recorded. Experimental results show that the new method has an overall good performance.

Key concepts: Curvature, Tangent, Algorithm, Point (geometry), Digital geometry, Range (aeronautics), Computer science, Curve fitting

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