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Virginia Tech

Development of an inexpensive computer vision system for grading oyster meats

Abstract

dc:description.abstract

The objective of this study was to develop an inexpensive automated device for grading raw oyster meats. The automation technique chosen was digital imaging. Typically, a computer vision system contains a microcomputer and a digital camera. An inexpensive digital camera connected to a personal computer was used to measure the projected area of the oyster meats. Physical characteristics of the oyster meats were important in designing a computer vision grading system and the necessary data were not found in the literature. Selected physical characteristics of oyster meats, including the projected area, weight, height, and volume were measured by independent methods. The digital image areas were found to be highly correlated to oyster meat volumes and weights. Currently oysters are marketed on the basis of volume. The results from this study indicated that the relationship between the oyster meat area as measured by computer vision and volume can be used as a grading criterion. The oysters ranged in volume from 3.5 cm³ to 19.4 cm³ A three dimensional image was not required because the height was not important. Tests showed that the system was consistent and successfully graded 5 oysters per second. The system was calibrated, and the prediction equation was validated with an estimated measurement error of ± 3.04 cm³ at a 95% confidence level. The development of automated graders using digital imaging techniques could help improve the quality and consistency of the graded oyster meats.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Agricultural Engineering
Department dc:contributor.department
Agricultural Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1988

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Awa, Teck Wah
Chair dc:contributor.committeechair
  • Byler, Richard K.
Committee members dc:contributor.committeemember
  • Diehl, Kenneth C.
  • Shanholtz, Vernon O.

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-07152010-020219
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/43742

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Awa, Teck Wah. Development of an inexpensive computer vision system for grading oyster meats. masters thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/43742