Object Coding for Real Time Image Processing Applications

Masood, Asif; Haq, Shaiq A.

doi:10.1007/11552499_61

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Boundaries can be represented more efficiently with various spline curves and this representation is mostly used for capturing shape outlines. Researchers have introduced various capturing techniques using different spline models like Bézier splines [26,33,40], B-splines [17], Hermite interpolation [46] and rational cubic interpolation [41]. Some recently proposed techniques may reduce the data points to about 5% of the boundary points.…”

Section: Introductionmentioning

confidence: 99%

Capturing outlines of 2D objects with Bézier cubic approximation

Masood¹,

Sarfraz

2009

Image and Vision Computing

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Section: Introductionmentioning

confidence: 99%

Capturing outlines of 2D objects with Bézier cubic approximation

Masood¹,

Sarfraz

2009

Image and Vision Computing

Self Cite

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“…More efficient representation is obtained using spline curves which are mostly used for capturing shape outlines. Various spline models are used such as Bezier splines, [10][11][12] B splines, 13 Hermite interpolation 14 and rational cubic interpolation. 15 In some of the recent techniques based on spline models, the data points may be reduced to 5% of the total boundary points.…”

Section: Introductionmentioning

confidence: 99%

Optimal curve fitting approach to represent outlines of 2D shapes

Masood¹,

Ejaz²

2010

The Imaging Science Journal

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A new outline capturing system is presented in this paper. It employs Bezier curve for curve approximation. Approximation starts with an initial estimation of control points positions, which is updated iteratively based on computed error. Consequently, the control points converge to an optimum position. The segments obtained after corner detection are initially approximated with Bezier curve of lowest degree, i.e. degree 1. The degree of approximating curve is then increased iteratively until the error comes under the user specified limit. This ensures optimal fit with least number of control points. Shape representation results of proposed algorithm are compared with existing techniques. Experimental results show that proposed algorithm can approximate the 2D shapes with considerably less number of control points, when compared with existing techniques. Computational efficiency is another advantage of proposed algorithm. Presented algorithm can have very useful applications in CAD/CAGD and real-time computer vision algorithms.

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An efficient technique for capturing 2D objects

Masood

Sarfraz

2008

Computers & Graphics

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Object Coding for Real Time Image Processing Applications

Cited by 4 publications

References 22 publications

Capturing outlines of 2D objects with Bézier cubic approximation

Capturing outlines of 2D objects with Bézier cubic approximation

Optimal curve fitting approach to represent outlines of 2D shapes

An efficient technique for capturing 2D objects

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