title: Adaptive image-processing technique and effective visualization of confocal microscopy images.
abstract: 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.
authors.affiliation: Department of Computer Sciences, Purdue University, West Lafayette, Indiana 47907-2066, USA.
authors.forename: Yinlong
authors.initials: Y
authors.lastname: Sun
authors.forename: Bartek
authors.initials: B
authors.lastname: Rajwa
authors.forename: J Paul
authors.initials: JP
authors.lastname: Robinson
mesh_terms: 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