Fruit Surface Area and Volume Measurements |
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Recording measurements
of produce provides important information, such
as surface area, volume, density, and weight,
for agriculture and food processing
applications, calculating water loss, heat
transfer, quantity of pesticide applications,
and respiration rates for example. A machine
vision system that uses a non-destructive 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.roject Sponsors:
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Virginia Tech
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Collaborators:
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Dr. Joseph Eifert, Virginia Tech
Dr. Andy Chang, Youngstown State University
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Graduate Students:
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Ben Westover, Pengcheng Zhan, and Xiaoqian
Xu
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Publications:
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J.D. Eifert, G.C. Sanglay, D.J. Lee,
S.S. Sumner, and M.D. Pierson, "Prediction
of Raw Produce Surface Area from Weight
Measurement", Journal of Food
Engineering, vol. 7/4, p. 552-556, June 2006.
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D.J. Lee, X. Xu, J.D. Eifert, and P.
Zhan, "Area and Volume Measurements
of Objects with Irregular Shapes Using
Multiple Silhouettes”, Optical
Engineering, vol. 45/2, p. 027202-27212,
February 2006.
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D.J. Lee, J.D. Eifert, and B.P. Westover,
"Surface Area and Volume Measurement Using
Radial Projections", SPIE Vision
Geometry XI, vol. 4794, p. 92-100, Seattle,
WA, USA, July, 2002.
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J.D. Eifert, G.C. Sanglay, and D.J.
Lee, "Prediction of Raw Produce Surface
Area from Weight Measurement", Annual
Meeting of the International Association for
Food Protection, San Diego, CA, USA, July,
2002.
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(Click
image to view paper poster)
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