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Reseach Article

Scaling of Color Image using B-spline Curves

Published on September 2015 by P. J. Kulkarni, and U. B. Hatwar
Emerging Applications of Electronics System, Signal Processing and Computing Technologies
Foundation of Computer Science USA
NCESC2015 - Number 1
September 2015
Authors: P. J. Kulkarni, and U. B. Hatwar
65d600bd-80cd-4060-b2ae-aeb435a5a6e4

P. J. Kulkarni, and U. B. Hatwar . Scaling of Color Image using B-spline Curves. Emerging Applications of Electronics System, Signal Processing and Computing Technologies. NCESC2015, 1 (September 2015), 5-8.

@article{
author = { P. J. Kulkarni, and U. B. Hatwar },
title = { Scaling of Color Image using B-spline Curves },
journal = { Emerging Applications of Electronics System, Signal Processing and Computing Technologies },
issue_date = { September 2015 },
volume = { NCESC2015 },
number = { 1 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/ncesc2015/number1/22359-7323/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Applications of Electronics System, Signal Processing and Computing Technologies
%A P. J. Kulkarni
%A and U. B. Hatwar
%T Scaling of Color Image using B-spline Curves
%J Emerging Applications of Electronics System, Signal Processing and Computing Technologies
%@ 0975-8887
%V NCESC2015
%N 1
%P 5-8
%D 2015
%I International Journal of Computer Applications
Abstract

This paper presents representation techniques as the image can be represented in Cubic B-splines that are used to represent the curvilinear features of an image. The algorithm is devised to convert a raster image into vector image. The algorithm first detects the curvilinear features of the image, then based on the curvilinear edges and feature attributes it constructs a triangulation, and finally iteratively optimizes the vertex color attributes and updates the triangulation. The results of the used techniques are presented. Compared with existing vector representation technique this method provides advantages for various image operations. This method is useful to vectorize the images of fonts, logos, blueprints and maps.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Subdivision Surfaces Curvilinear Features Mesh Generation Graphics Primitives.