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Optical Engineering

Area and volume measurements of objects with irregular shapes using multiple silhouettes
Author(s): Dah-Jye Lee; Xiaoqian Xu; Joseph D. Eifert; Pengcheng Zhan
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Paper Abstract

Surface area and volume measurements provide important information for agriculture and food-processing applications. A machine vision system that uses a nondestructive method to measure volume and surface area of objects with irregular shapes is presented in this paper. The system first takes a series of silhouettes of the object from different directions by rotating the object at a fixed angular interval. The boundary points of each image are then extracted to construct a silhouette. A three-dimensional wire-frame model of the object can be reconstructed by integrating silhouettes obtained from different view angles. Surface area and volume can then be measured by means of surface fitting and approximation on the wire-frame model. System calibration and surface approximation were two major challenges for the design of this machine vision system. A unique centerline calibration method is introduced in this paper. Surface approximation and calculation are also discussed. Examples of applications in agriculture and food processing using this vision system for surface area measurement are included, and its accuracy is verified.

Paper Details

Date Published: 1 February 2006
PDF: 11 pages
Opt. Eng. 45(2) 027202 doi: 10.1117/1.2166847
Published in: Optical Engineering Volume 45, Issue 2
Show Author Affiliations
Dah-Jye Lee, Brigham Young Univ. (United States)
Xiaoqian Xu, Brigham Young Univ. (United States)
Joseph D. Eifert, Virginia Polytechnic Institute and State Univ. (United States)
Pengcheng Zhan, Brigham Young Univ. (United States)


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