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Author:

Zhang, Zi-Ming (Zhang, Zi-Ming.) | Lu, Wang (Lu, Wang.) | Shi, Yuan-Zheng (Shi, Yuan-Zheng.) | Yang, Ting-Lei (Yang, Ting-Lei.) | Liang, Shu-Li (Liang, Shu-Li.)

Indexed by:

EI Scopus

Abstract:

Volume rendering could display the image in an integrated distribution of a variety of substances. It is convenient to view the body data for a doctor. Volume rendering should traverse each voxel of the data, causing large calculation and slow image generation, and can not change the external light and perspective. It is need to start the drawing again when parameters have changed. The complex process lead the slow speed of rebuilt. In this paper, volume rendering algorithm based on segmentation in three-dimensional reconstruction is present, including the segmentation of CT data, the normal vector of the volume element, and the generation of the final image. This method greatly accelerated the speed of rendering image, and improves image display quality. Also, it can well reflect the global status of three-dimensional data. © 2012 IEEE.

Keyword:

Image enhancement Volume rendering Computerized tomography Image segmentation

Author Community:

  • [ 1 ] [Zhang, Zi-Ming]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Lu, Wang]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Shi, Yuan-Zheng]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Yang, Ting-Lei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Liang, Shu-Li]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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Source :

Year: 2012

Volume: 1

Page: 372-375

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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