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21 May 2004 Noise reduction and 3D visualization of confocal microscopy images
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Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.543424
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yinlong Sun, Qiqi Wang, Haiying Xu, J. Paul Robinson, and Bartek P. Rajwa "Noise reduction and 3D visualization of confocal microscopy images", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.543424
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