Adaptive image-processing technique and effective visualization of confocal microscopy images.
A common observation about confocal microscopy images 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 report proposes a new technique to reduce such noise impacts in terms of an adaptive intensity compensation and structural sharpening algorithm. With these image-processing procedures, effective 3D rendering techniques can be applied to faithfully visualize confocal microscopy data.
Sun
Yinlong
Y
Department of Computer Sciences, Purdue University, West Lafayette, Indiana 47907-2066, USA.
Rajwa
Bartek
B
Robinson
J Paul
JP
D000465:Algorithms; D031806:Eichhornia / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008027:Light; D018613:Microscopy, Confocal / Q000295:instrumentation* / Q000379:methods*; D012542:Scattering, Radiation