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Proceedings Paper

Noise reduction and 3D visualization of confocal microscopy images
Author(s): Yinlong Sun; Qiqi Wang; Haiying Xu; J. Paul Robinson; Bartek P. Rajwa
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Paper Abstract

In confocal microscopy images, a common observation is that lower image stacks have lower voxel intensities and are usually blurred in comparison with the upper ones. The key reasons are light absorption and scattering by the objects and particles in the volume through which light passes. This paper proposes a new technique to reduce such noise impacts in terms of an adaptive intensity compensation and image-sharpening algorithm. With these image-processing procedures, advanced 3D volume-rendering techniques can be applied to more faithfully visualize confocal microscopy images.

Paper Details

Date Published: 21 May 2004
PDF: 10 pages
Proc. SPIE 5299, Computational Imaging II, (21 May 2004); doi: 10.1117/12.543424
Show Author Affiliations
Yinlong Sun, Purdue Univ. (United States)
Qiqi Wang, Purdue Univ. (United States)
Haiying Xu, Purdue Univ. (United States)
J. Paul Robinson, Purdue Univ. (United States)
Bartek P. Rajwa, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 5299:
Computational Imaging II
Charles A. Bouman; Eric L. Miller, Editor(s)

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