Share Email Print

Proceedings Paper • new

Characterizing three dimensional open cell structures without segmentation
Author(s): Joseph H. Nurre; Thomas E. Dufresne; John H. Gideon
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Foam cells, particle conglomerates, biological tissue slices and colloidal suspensions are just a few examples of collections that create an image with multiple touching or overlapping regions. The characterization of the open cell size of such a continuous structure is tedious and computationally intensive for large 3D data sets. Typically, it is accomplished by segmenting the cells with a watershed technique and aggregating the statistics of all regions found. This paper provides the mathematical foundation for a newly discovered relationship between the average pixel value of a Euclidean Distance Map (EDM) and the radius of a conic section. The implementation of this relationship allows for a computationally simple and accurate characterization of the aggregate diameter associated with these open cell structures without segmentation.

Paper Details

Date Published: 16 May 2018
PDF: 6 pages
Proc. SPIE 10666, Three-Dimensional Imaging, Visualization, and Display 2018, 106660U (16 May 2018); doi: 10.1117/12.2304394
Show Author Affiliations
Joseph H. Nurre, Proctor & Gamble Co. (United States)
Thomas E. Dufresne, Proctor & Gamble Co. (United States)
John H. Gideon, Univ. of Michigan (United States)

Published in SPIE Proceedings Vol. 10666:
Three-Dimensional Imaging, Visualization, and Display 2018
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

© SPIE. Terms of Use
Back to Top