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Proceedings Paper

Fresh market carrot inspection by machine vision
Author(s): M. Scott Howarth; Stephen W. Searcy
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Paper Abstract

A machine vision system was developed to inspect fresh market carrots. It was designed to grade carrots with an axial and transverse resolution of 0. 5mmper pixel. Hardware consisted of camera digital signal processing (DSP) imaging board host computer and illumination components. Feature extraction methods detect the major defects. A Bayes classification technique was used to construct the decision function which classify carrots as acceptable or cull. The system was able to image and classify in approximately 2. 5carrots/second. 1.

Paper Details

Date Published: 1 February 1991
PDF: 10 pages
Proc. SPIE 1379, Optics in Agriculture, (1 February 1991); doi: 10.1117/12.25084
Show Author Affiliations
M. Scott Howarth, Texas A&M Univ. (United States)
Stephen W. Searcy, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 1379:
Optics in Agriculture
James A. DeShazer; George E. Meyer, Editor(s)

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