Segmentation and measurement based on 3D Voronoi diagram: Application to confocal microscopy

✍ Scribed by E. Bertin; F. Parazza; J.M. Chassery

• Book ID: 103927754
• Publisher: Elsevier Science
• Year: 1993
• Tongue: English
• Weight: 888 KB
• Volume: 17
• Category: Article
• ISSN: 0895-6111
• DOI: 10.1016/0895-6111(93)90041-k

✦ Synopsis

Computational geometry provides many solutions to imaging problems, especially for three-dimensional (3D) image compression, segmentation, and measurement. We present here a new method to partition volume data by Voronoi polyhedra structured in a graph environment. A dynamic construction of the 3D Voronoi diagram is proposed, using image information interactively. The process has been applied to segment and quantitate 3D biological data acquired with a confocal laser scanning microscope (CLSM). The discrete volume acquired represents a large mass of data and can be reduced with this particular method, before measurement (processing time) or archiving (memory space). Furthermore, the structure data is a powerful tool to rapidly compute parameters that are characteristic of the volume data.