2006Journal of Medical BiomechanicsRequires access

Experience in transforming the image of Chinese visible human dataset to vector graphics

Zhang Shao-xian

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Abstract

Objective To design and implement a new algorithm to transform the images of Chinese visual humandataset to vector graphics. Methods A program was developed for the images transformation by using the designedalgorithm. The output file of the program is a vector graphics format of scalable vector graphics (SVG), and it couldcompare the original bitmap with the graphics after transformation according to its profile and color. Results Thedecisive quality image was achieved by adjusting the parameters of the algorithm. The more the color gradient becomes,the harder the calculation will be. Conclusion The implements of transforming the bitmap images could facilitate resolvingthe problem of the interactive format of kinds of platform data of three dimension construction system and to make it moreuniform and standardized.

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What this paper is about

Objective To design and implement a new algorithm to transform the images of Chinese visual humandataset to vector graphics. Methods A program was developed for the images transformation by using the designedalgorithm. The output file of the program is a vector graphics format of scalable vector graphics (SVG), and it couldcompare the original bitmap with the graphics after transformation according to its profile and color. Results Thedecisive quality image was achieved by adjusting the parameters of the algorithm. The more the color gradient becomes,the harder the calculation will be. Conclusion The implements of transforming the bitmap images could facilitate resolvingthe problem of the interactive format of kinds of platform data of three dimension construction system and to make it moreuniform and standardized.

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Available abstract

Objective To design and implement a new algorithm to transform the images of Chinese visual humandataset to vector graphics. Methods A program was developed for the images transformation by using the designedalgorithm. The output file of the program is a vector graphics format of scalable vector graphics (SVG), and it couldcompare the original bitmap with the graphics after transformation according to its profile and color. Results Thedecisive quality image was achieved by adjusting the parameters of the algorithm. The more the color gradient becomes,the harder the calculation will be. Conclusion The implements of transforming the bitmap images could facilitate resolvingthe problem of the interactive format of kinds of platform data of three dimension construction system and to make it moreuniform and standardized.

Key concepts: Vector graphics, Bitmap, Scalable Vector Graphics, Computer science, Graphics, Computer graphics (images), Transformation (genetics), 2D computer graphics

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