2009
DOI: 10.1016/j.imavis.2008.07.012
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Capturing outlines of 2D objects with Bézier cubic approximation

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Cited by 19 publications
(5 citation statements)
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“…The main principle of our image processing is schematically represented in Figure 3 . Here, the shape of the PC and the posterior IOL surface was first approximated by a Bézier spline, [ 19 ] i.e., a series of cubic Bézier curves joined end-to-end in control points. The control points (the white points in the top left picture in Figure 3 ) were manually selected by an ophthalmologist (G.H.)…”
Section: Methodsmentioning
confidence: 99%
“…The main principle of our image processing is schematically represented in Figure 3 . Here, the shape of the PC and the posterior IOL surface was first approximated by a Bézier spline, [ 19 ] i.e., a series of cubic Bézier curves joined end-to-end in control points. The control points (the white points in the top left picture in Figure 3 ) were manually selected by an ophthalmologist (G.H.)…”
Section: Methodsmentioning
confidence: 99%
“…A variety of corner detection algorithms are available in the literature. 16,24,36,37 An algorithm by Sarfraz et al 35 is selected for its accuracy and efficiency. Summary of algorithm 35 is given below.…”
Section: Boundary Segmentationmentioning
confidence: 99%
“…New positions of control points P 1 and P 2 are computed as newP 1~o ldP 1 zE 1 (16) newP 2~o ldP 2 zE 2…”
Section: Approximation Using a Cubic Bezier Curvementioning
confidence: 99%
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“…So the row and column co-ordinates of each point on the boundary can be expressed as a complex number. For details, the reader is referred to [5,14]. This paper implements a simple classifier that calculates similarity measure, namely Euclidean Distance (ED), of the corresponding Fourier descriptors of the input shape.…”
Section: Fourier Theory and Similarity Measurementioning
confidence: 99%