Capturing Outlines of Planar Images by Cubic Spline using Stochastic Evolution

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http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.23

Computer Graphics, Imaging and Visual ...

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	Muhammad Sarfraz, Mohammad Tanvir Parvez, Ali Rizvi, "Capturing Outlines of Planar Images by Cubic Spline using Stochastic Evolution," Computer Graphics, Imaging and Visualization, International Conference on, pp. 255-260, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007.

	BibTex	x
	@article{ 10.1109/CGIV.2007.23, author = {Muhammad Sarfraz and Mohammad Tanvir Parvez and Ali Rizvi}, title = {Capturing Outlines of Planar Images by Cubic Spline using Stochastic Evolution}, journal ={Computer Graphics, Imaging and Visualization, International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2928-3}, pages = {255-260}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.23}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Graphics, Imaging and Visualization, International Conference on TI - Capturing Outlines of Planar Images by Cubic Spline using Stochastic Evolution SN - 0-7695-2928-3 SP255 EP260 A1 - Muhammad Sarfraz, A1 - Mohammad Tanvir Parvez, A1 - Ali Rizvi, PY - 2007 KW - Planar image KW - curve fitting KW - cubic spline KW - soft computing KW - knot insertion. VL - 0 JA - Computer Graphics, Imaging and Visualization, International Conference on ER -

Muhammad Sarfraz, King Fahd University of Petroleum and Minerals, Saudi Arabia

Mohammad Tanvir Parvez, King Fahd University of Petroleum and Minerals, Saudi Arabia

Ali Rizvi, King Fahd University of Petroleum and Minerals, Saudi Arabia

This paper is concerned with a new technique of curve fitting. The technique has various phases including extracting outlines of images, detecting corner points from the detected outline, addition of extra knot points if needed. The last phase makes a significant contribution by making the technique automated. It uses the idea of Stochastic Evolution to optimize the shape parameters in the description of the generalized cubic spline. It ultimately produces optimal results for the approximate vectorization of the digital contour obtained from the planar images.

Index Terms:

Planar image, curve fitting, cubic spline, soft computing, knot insertion.

Citation:

Muhammad Sarfraz, Mohammad Tanvir Parvez, Ali Rizvi, "Capturing Outlines of Planar Images by Cubic Spline using Stochastic Evolution," cgiv, pp.255-260, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007

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