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Proceedings Paper

Boundary emphasis transfer function generation based on HSL color space
Author(s): Xiao Li; Jianhuang Wu; Shengzhou Luo; Xin Ma
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Paper Abstract

Direct volume rendering has been received much attention since it need not to extract geometric primitives for visualization and its performance is generally better than surface rendering. Transfer functions, which are used for mapping scalar field to optical properties, are of vital importance in obtaining a sensible rendering result from volume data. Though traditional color transfer functions are in RGB color space, HSL color space that conveys semantic meanings is more intuitive and user-friendly. In this paper, we present a novel approach aims to emphasize and distinguish strong boundaries between different materials. We achieve it by using data value, gradient magnitude and dimension of the volumetric data to set opacity. Then, through a linear map from data value, gradient magnitude and second derivative to hue, saturation and lightness respectively, a color transfer function is obtained in HSL color space. Experimental tests on real-world datasets indicate that our method could achieve desirable rendering results with revealing important boundaries between different structures and indicating data value's distribution in the volume by using different colors.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851F (1 October 2011); doi: 10.1117/12.913416
Show Author Affiliations
Xiao Li, Shenzhen Institutes of Advanced Technology (China)
The Chinese Univ. of Hong Kong (China)
Jianhuang Wu, Shenzhen Institutes of Advanced Technology (China)
The Chinese Univ. of Hong Kong (China)
Shengzhou Luo, Shenzhen Institutes of Advanced Technology (China)
The Chinese Univ. of Hong Kong (China)
Xin Ma, Shenzhen Institutes of Advanced Technology (China)
The Chinese Univ. of Hong Kong (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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